CrawlJobs Logo

Principal Engineer I – Master Data Management Engineer

softwareresources.com Logo

Software Resources

Location Icon

Location:
United States , Irving, TX

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

Software Resources has an immediate, direct hire job opportunity for a Principal Engineer I – Master Data Management Engineer with a major corporation in Irving/Dallas, TX. Must be proficient in Profisee or other MDM tools.

Job Responsibility:

  • Act as a Subject Matter Expert within the Enterprise Data & Analytics domain and related fields, ensuring that Master Data Management (MDM) and data engineering solutions adhere to standards of safety, security, compliance, and reliability
  • Design, develop, and implement key components of the enterprise data platform in alignment with Western Alliance Bank’s strategic data and analytics goals
  • Assess development and support needs, assume accountability for extensive design initiatives, and play an essential role in delivering successful project outcomes
  • Collaborate directly with business data stewards, analysts, engineers, enterprise architects, and business stakeholders to refine requirements and shape the objectives of enterprise data solutions
  • Lead a high-performing, centralized team of engineers, analysts, and QA engineers, developing solutions that address the complete data lifecycle management needs of our enterprise data platforms
  • Mentor and guide team members, fostering a culture of excellence and continuous learning
  • Lead the design, development, and maintenance of MDM solutions using Profisee, including data models, workflows, business rules, and user interfaces
  • Develop and implement data quality rules and processes within Profisee to ensure data accuracy and consistency
  • Design, develop, and implement match and merge functionalities, as well as hierarchical structures, utilizing Profisee
  • Establish and implement survivorship rules, business rules, and workflow automations
  • Diagnose and resolve long-running processes, as well as memory and CPU performance concerns. Address and correct scheduling inefficiencies within the system
  • Design and implement Azure DevOps CI/CD pipelines to facilitate the deployment of Profisee deliverables, while also providing comprehensive support for deployment processes, monitoring, and performance diagnostics
  • Design and implement data integration processes between Profisee and other enterprise systems using various integration techniques (API, ETL, etc.)
  • Participate in the full MDM implementation lifecycle, including requirements gathering, design, development, testing, deployment, and support
  • Collaborate with cross-functional teams and business stakeholders to define master data domains, hierarchies, and data models aligned with business objectives and data governance principles
  • Design, develop, and deploy enterprise-grade data engineering solutions utilizing Azure Data Factory, Synapse Analytics, Azure DevOps, and related technologies
  • Design and implement end-to-end ETL and data pipeline solutions managing the full data lifecycle for Western Alliance Bank and partner systems
  • Review Azure Data Factory pipelines, Synapse artifacts, and scripts from data engineering teams to ensure quality standards are met. Provide thorough, actionable feedback on all deliverables
  • Ensure Profisee remains safe, secure, compliant, & reliable by ensuring all operational & security practices & controls are followed
  • Stay current on Profisee roadmap & identify opportunities for ED&A Architecture Runway to leverage Profisee for value-add opportunities

Requirements:

  • 8+ years’ experience with MDM solutions using Profisee or any other MDM tools
  • 3+ years’ experience designing, implementing, and supporting cloud data solutions
  • Azure Data Lake Storage, Azure Data Factory, Azure Data Services, Azure Logic Apps etc.
  • Bachelor’s degree in related field required
  • Masters or MBA in related field preferred
  • Previous leadership experience preferred
  • Expert level experience with at least one RDBMS and query language such as T-SQL, PL/SQL, Spark SQL
  • Expert level experience in conceptual, logical, and physical data design
  • Certifications within Azure such as Azure Fundamentals, Azure Data Engineer, Azure Data Scientist, and/or Azure DevOps Engineer preferred
  • Familiarity with multi-cloud data management and transformation platforms or tools such as Databricks, Snowflake etc.
  • Experience integrating with data quality, data catalog and data lineage tools preferred
  • Advanced to expert knowledge of general Financial Services or Banking is preferred
  • Advanced to expert knowledge of applicable regulatory and legal compliance obligations, rules and regulations, industry standards, and practices
  • Advanced to expert experience in leading cross-functional teams and managing multiple projects simultaneously with an established expertise in one or more key domains of the bank (Deposits, Loans, Operations or Reporting) with the ability to walk-through top-level process design. Capable of working with regulatory partners like the CFPB, OCC and FRB through audits and collaboration efforts as situations arise
  • Advanced to expert familiarity with the capability model across IT and the applications and infrastructures available for engagement in solutioning across the bank to develop results that leverage existing capabilities in addition to implementing new solutions when required. Experience in design, enhancement, and compliance to all governance frameworks across the IT organization to ensure proper compliance to published procedures and standards
  • Advanced speaking and writing communication skills

Nice to have:

  • Masters or MBA in related field
  • Previous leadership experience
  • Certifications within Azure such as Azure Fundamentals, Azure Data Engineer, Azure Data Scientist, and/or Azure DevOps Engineer
  • Familiarity with multi-cloud data management and transformation platforms or tools such as Databricks, Snowflake etc.
  • Experience integrating with data quality, data catalog and data lineage tools
  • Advanced to expert knowledge of general Financial Services or Banking
  • Advanced to expert knowledge of applicable regulatory and legal compliance obligations, rules and regulations, industry standards, and practices
  • Advanced to expert experience in leading cross-functional teams and managing multiple projects simultaneously with an established expertise in one or more key domains of the bank (Deposits, Loans, Operations or Reporting) with the ability to walk-through top-level process design. Capable of working with regulatory partners like the CFPB, OCC and FRB through audits and collaboration efforts as situations arise
  • Advanced to expert familiarity with the capability model across IT and the applications and infrastructures available for engagement in solutioning across the bank to develop results that leverage existing capabilities in addition to implementing new solutions when required. Experience in design, enhancement, and compliance to all governance frameworks across the IT organization to ensure proper compliance to published procedures and standards
What we offer:
  • medical, dental, and vision coverage
  • a 401(k) with company match
  • short-term disability
  • life insurance with AD&D

Additional Information:

Job Posted:
April 11, 2026

Icon
Software Resources - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Principal Engineer I – Master Data Management Engineer

Principal Engineering Program Manager

Principal Engineering Program Manager role at Hewlett Packard Enterprise managin...
Location
Location
United States , Aguadilla
Salary
Salary:
130500.00 - 300000.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in Business Management, Engineering, Computer Sciences, or equivalent
  • PMP/PMI certification preferred
  • Typically 10+ years experience
  • Experience designing and developing project and program planning tools and software packages
  • Excellent analytical and problem solving skills
  • Demonstrated business acumen and understanding of organizational strategy
  • History of innovation with examples of developing new technical, engineering and/or manufacturing processes
  • Excellent written and verbal communication skills
  • mastery in English and local language
  • Ability to effectively communicate program management architectures, plans, proposals, and results
Job Responsibility
Job Responsibility
  • Manages and leads key programs involving multiple functions and program teams
  • Directs the development of overall program strategy, budgets, resource allocation plans
  • Manages activities of supporting program teams and internal and external development partners
  • Communicates program progress, escalations, and issue analysis to product stakeholders
  • Drives innovation and integration of new technologies and quality initiatives
  • Reviews and evaluates program plans and guidelines for compliance
  • Leads and provides guidance and mentoring to less-experienced staff members
What we offer
What we offer
  • Health & Wellbeing benefits
  • Personal & Professional Development programs
  • Unconditional Inclusion environment
  • Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
  • Fulltime
Read More
Arrow Right

Senior Principal Engineer Core Data Platform

As an engineer well into your career, we know you're an expert at what you do an...
Location
Location
United States , Seattle; San Francisco; Mountain View
Salary
Salary:
198300.00 - 318600.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
  • 12+ years of experience in backend software development, with a focus on distributed systems and large-scale storage solutions
  • 8+ years of experience designing and managing highly available, large-scale storage architectures in cloud environments
  • 5+ years of hands-on experience working with AWS storage services (S3, EBS, EFS, FSx, Glacier, DynamoDB)
  • Proficiency in system design, performance optimization, and cost-efficient architecture for exabyte-scale storage
  • Expertise in at least one major backend programming language (Kotlin, Java, Go, Rust, or Python)
  • Experience leading technical strategy and architectural decisions in large, multi-team engineering organizations
  • Strong understanding of distributed systems principles, including consistency models, replication, sharding, and consensus algorithms (Raft, Paxos)
  • Deep knowledge of security best practices, including encryption, access control (IAM), and compliance standards (SOC2, GDPR, HIPAA)
  • Experience mentoring senior engineers and driving high-impact engineering initiatives
Job Responsibility
Job Responsibility
  • Collaborate with partner teams and internal customers to help define technical direction and OKRs for the Core Data platform organization
  • Regularly tackle the largest and most complex problems on the team, from technical design to implementation and launch
  • Partner across engineering teams to take on company-wide initiatives spanning multiple projects
  • Routinely tackle complex architecture challenges and apply architectural standards and start using them on new projects
  • Work across senior engineering and product leaders to build strategy and design solutions to earn customers trust and business
  • Own key OKRs and end-to-end outcomes of critical projects in a microservices environment
  • Champion best practices and innovative techniques for scalability, reliability, and performance optimizations
  • Own engineering and operational excellence for the health of our systems and processes
  • Proactively drive opportunities for continuous improvements and own key operational metrics
  • Continually drive developer productivity initiatives to ensure that we unleash the potential of our own teams
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...
Location
Location
Poland , Warsaw
Salary
Salary:
Not provided
awin.com Logo
Awin Global
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
  • At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
  • Strong foundation in computer science principes and statistical methods
  • Strong experience with cloud technology (AWS or Azure)
  • Strong experience with creation of data ingestion pipeline and ET process
  • Strong knowledge of big data tool such as Spark, Databricks and Python
  • Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
  • Strong knowledge of Natural language processing (NPL) concepts
  • Strong knowledge of scrum practices and agile mindset
  • Strong Analytical and Problem-Solving Skills with attention to data quality and accuracy
Job Responsibility
Job Responsibility
  • Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
  • Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
  • Build and maintain feature stores, vector/embedding stores, and core data assets for ML
  • Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
  • Implement data quality checks, drift detection, and automated retraining processes
  • Optimise cost, latency, and performance across all AI/ML infrastructure
  • Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
  • Ensure AI/ML systems meet governance, security, and compliance requirements
  • Mentor teams and drive innovation across both agentic and classical ML engineering practices
  • Participate in team meetings and contribute to project planning and strategy discussions
What we offer
What we offer
  • Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
  • Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
  • Pension: Awin offers access to an additional pension insurance to all employees in Germany
  • Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
  • Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
  • Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program
Read More
Arrow Right

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...
Location
Location
Salary
Salary:
Not provided
awin.com Logo
Awin Global
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
  • At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
  • Strong foundation in computer science principes and statistical methods
  • Strong experience with cloud technology (AWS or Azure)
  • Strong experience with creation of data ingestion pipeline and ET process
  • Strong knowledge of big data tool such as Spark, Databricks and Python
  • Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
  • Strong knowledge of Natural language processing (NPL) concepts
  • Strong knowledge of scrum practices and agile mindset
Job Responsibility
Job Responsibility
  • Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
  • Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
  • Build and maintain feature stores, vector/embedding stores, and core data assets for ML
  • Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
  • Implement data quality checks, drift detection, and automated retraining processes
  • Optimise cost, latency, and performance across all AI/ML infrastructure
  • Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
  • Ensure AI/ML systems meet governance, security, and compliance requirements
  • Mentor teams and drive innovation across both agentic and classical ML engineering practices
  • Participate in team meetings and contribute to project planning and strategy discussions
What we offer
What we offer
  • Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
  • Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
  • Pension: Awin offers access to an additional pension insurance to all employees in Germany
  • Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
  • Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
  • Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program
Read More
Arrow Right

Principal Data Science, GenAI

The Principal Data Scientist at T-Mobile encompasses tasks such as conducting ma...
Location
Location
United States , Bellevue; Overland Park; Frisco
Salary
Salary:
127400.00 - 229800.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years proven experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models
  • 4+ years demonstrated ability writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations while articulating and translating business questions and using statistical techniques to arrive at an answer using available data
  • 4+ years experience with data querying, wrangling, cleaning, and feature engineering in big data environments such as AWS, Azure, and Google Cloud
  • 4+ years experience in deploying data mining, visualization, and machine learning solutions using tools like Python, R, SAS in big data environments
  • Proficiency in SQL for complex data querying and management
  • Expertise in designing and implementing algorithms for predictive analytics and decision-making
  • Ability to lead and mentor a team of data scientists, driving project completion and innovation
  • Hands-on development experience with Azure services (e.g., Logic Apps, Function Apps, App Services, Blob Storage, CosmosDB)
  • Proficiency in GenAI workflows, including embedding, chunking, and working with LLM models such as GPT-4
  • Familiarity with managed identities and security integration within Azure environments
Job Responsibility
Job Responsibility
  • Leads and mentors a team of data scientists in the development of data science solutions
  • Manages data science projects from inception to completion, applying advanced analytical techniques
  • Designs and implements algorithms in data analysis, machine learning, and artificial intelligence
  • Enhances the company's capabilities in predictive analytics and decision-making
  • Collaborates with various stakeholders to translate data-driven insights into strategic actions
  • Contributes to maintaining the company's position as a leader in the telecommunications industry
  • Participates in other duties or projects as assigned by business management as needed
What we offer
What we offer
  • medical, dental and vision insurance
  • a flexible spending account
  • 401(k)
  • employee stock grants
  • employee stock purchase plan
  • paid time off and up to 12 paid holidays
  • paid parental and family leave
  • family building benefits
  • back-up care
  • enhanced family support
  • Fulltime
Read More
Arrow Right

Principal Data Scientist

T-Mobile’s Strategy and Corporate Development (S&CD) team is looking for a Princ...
Location
Location
United States , Bellevue; Overland Park
Salary
Salary:
127400.00 - 229800.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)
  • Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)
  • 7-10 years of industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models
  • 7-10 years of Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
  • 7-10 years of Experience with data scripting languages (e.g., SQL, Python, R) and Extended experience working with relational database using SQL
  • 4-7 years of Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
  • 4-7 years of Experience with statistical methods and advanced modeling techniques. For example- SVM, Random Forest, graph models, Bayesian inference, NLP, Computer Vision, neural networks
  • 4-7 years of Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc
  • 4-7 years of Experience in data visualization
  • 2-4 years Management consulting, investment banking, or corporate strategy
Job Responsibility
Job Responsibility
  • Extract, prepare, and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming
  • Identify critical and emerging technologies that will support and extend our consumer data, data integration, and quantitative analytic capabilities
  • Lead the implementation, assessment and standardization of advanced analytics and modeling toolkits for our data science team
  • Partner with data engineering teams to shape data management strategies, architecture, governance, pipelines, and infrastructure enabling effective modeling environments for data science teams
  • Provide senior level guidance to the data science and measurement science teams on approach and methodologies
  • Communicate important information and insights to business leaders using verbal, written, and data visualization skills
What we offer
What we offer
  • competitive base salary and compensation package
  • annual stock grant
  • employee stock purchase plan
  • 401(k)
  • access to free, year-round money coaches
  • medical, dental and vision insurance
  • flexible spending account
  • employee stock grants
  • paid time off
  • up to 12 paid holidays
  • Fulltime
Read More
Arrow Right

Staff /Sr Staff/ Principal Engineer - Lakehouse

Balbix is the world's leading platform for cybersecurity posture automation. Usi...
Location
Location
India , Bangalore; Gurgaon
Salary
Salary:
Not provided
balbix.com Logo
Balbix
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in backend software development dealing with large scale applications involving large scale data
  • Proven experience in defining and improving application design and architecture
  • Drive to discover and learn the required new technologies
  • Exposure to state of the art technologies for large scale data systems
  • Proficiency in programming languages such as Python, Scala or Java
  • Hands-on experience with large scale technologies such as Apache Spark, Apache Flink, Cassandra
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills
Job Responsibility
Job Responsibility
  • Collaborate with product managers, data scientists, and other stakeholders to understand requirements and translate them into technical solutions
  • Design, develop, and deploy high scale systems using state of the art technologies
  • Build reliable, consistent and high throughput data services and interfaces
  • Mentor junior developers and contribute to knowledge sharing within the team
  • Help define and ensure the best practices and guidelines across the systems
  • Optimize and tune applications for performance and scalability
  • Troubleshoot and resolve issues in production environments
  • Fulltime
Read More
Arrow Right

Principal Product Manager, AI Quality

As a Principal Product Manager for AI Quality in Central AI, you will play a piv...
Location
Location
United States
Salary
Salary:
161100.00 - 252625.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of product management experience, with substantial recent experience driving relevance and quality for a consumer or enterprise AI product
  • Proven proficiency in defining and improving on relevance and quality measurement metrics
  • Strong technical subject matter expertise, with a comprehensive understanding of search/ads technologies, natural language processing, and machine learning principles
  • Data-driven decision-making skills, including the ability to independently analyze complex data sets, identify trends, and demonstrate the customer impact of improvements
  • Deep user empathy and commitment to delivering exceptional experiences, with attention to detail that drives continuous improvement
  • Exceptional communication and stakeholder management skills, capable of conveying complex technical concepts clearly to both technical and non-technical audiences, including senior executives
  • Demonstrated ability to influence and drive cross-functional initiatives without direct authority, maintaining alignment across diverse teams
  • Bachelor's or Master’s degree in Computer Science, Data Science, or a related field preferred
Job Responsibility
Job Responsibility
  • Define and drive the strategic vision and roadmap for AI quality for your feature areas, clearly articulating the desired outcomes and the path to achieve them
  • Lead initiatives to improve the quality, reliability, and trustworthiness of AI models and experiences, ensuring alignment with organizational goals and user expectations
  • Partner with engineering, data science, product, and design teams to identify opportunities and implement improvements in AI quality
  • Advocate for relevance and quality standards, influencing stakeholders and championing initiatives that elevate user experience
  • Develop deep customer insights to pinpoint gaps in quality, proactively addressing issues to enhance user satisfaction and engagement
  • Regularly interact with users and internal stakeholders to validate quality enhancements and prioritize feature improvements
  • Create compelling narratives and communicate progress effectively to customers, stakeholders, and the broader community, highlighting Atlassian’s advancements in search relevance and quality
What we offer
What we offer
  • health and wellbeing resources
  • paid volunteer days
Read More
Arrow Right
Remote jobs Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog Salaries About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy