Data Governance Foundation Principal Job at Citi (New York)

Principal Data Engineer

PointClickCare is searching for a Principal Data Engineer who will contribute to...

Location

United States

Salary:

183200.00 - 203500.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

Principal Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on streaming and real-time data systems
Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor
Deep expertise in streaming and real-time data technologies, including frameworks such as Apache Kafka, Flink, and Spark Streaming
Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines
Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads
Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations)
Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools
Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments
Experience with Lakehouse architectures and related technologies, including Databricks, Azure ADLS Gen2, and Apache Hudi
Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and across the organization

Job Responsibility

Lead and guide the design and implementation of scalable streaming data pipelines
Engineer and optimize real-time data solutions using frameworks like Apache Kafka, Flink, Spark Streaming
Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset
Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies
Drive adoption of best practices in data governance, observability, and performance tuning for streaming workloads
Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment
Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response
Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work

What we offer

Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!

Fulltime

Principal Data Program Manager

We are seeking an experienced and highly collaborative Data Program Manager to o...

Location

United States , San Francisco

Salary:

157000.00 - 196000.00 USD / Year

New Relic

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field
10+ years of experience in program management, with a proven track record of successfully delivering complex, data-focused programs in a multi-team environment
Strong understanding of the data lifecycle and principles of data governance, data quality, and data architecture
Familiarity with the needs of analytics, data science, and AI/ML projects
Proficiency in project and program management methodologies such as Agile, Scrum, and Waterfall
Experience with data management tools and platforms (e.g., SQL, Python, R)
Familiarity with data visualization tools (e.g., Tableau, Power BI)
Exceptional leadership skills with the ability to influence and align teams and senior stakeholders without direct authority
Excellent verbal and written communication skills, with a demonstrated ability to articulate complex technical concepts and program details to an executive audience
Strong strategic and analytical thinking skills, with the ability to connect the work of individual data teams to broader business objectives

Job Responsibility

Develop and execute a unified data program roadmap that supports the strategic goals of our Analytics, Data Science, and AI initiatives
Define program scope, objectives, and deliverables in collaboration with team leads
Serve as the primary liaison between technical data teams and executive leadership
Effectively communicate program status, risks, and strategic value to business stakeholders, ensuring alignment and buy-in
Lead and coordinate complex, cross-functional programs across Analytics, Data Science, AI Foundations, and Data Governance teams
Foster strong partnerships with Data Engineering to ensure foundational support for all initiatives
Champion and facilitate the implementation of data governance policies across all data programs, ensuring data quality, integrity, security, and compliance in partnership with the Data Governance team
Proactively identify and mitigate potential risks, roadblocks, and dependencies between teams
Develop contingency plans to ensure program milestones are met
Define and track key performance indicators (KPIs) that measure the business impact and success of data programs

What we offer

corporate bonus plan
healthcare
dental
vision
parental leave and planning
mental health benefits
a 401(k) plan and match
flex time-off
11 paid holidays
volunteer time-off

Fulltime

Data & AI Architect Principal

The Data and AI Architect Principal is central to BT International's ability to ...

Location

Hungary , Budapest

Salary:

Not provided

Plusnet

Expiration Date

Until further notice

Requirements

Strategic Architecture Leadership – Proven ability to define data and AI platform vision with track record driving large-scale data transformation programs
Data Platform Architecture – Deep expertise in modern data platform design including data lakes, data warehouses, streaming architectures and data mesh patterns
AI/ML Architecture – Strong understanding of machine learning systems including feature engineering, model training, serving, monitoring and MLOps platforms
Agentic AI – Emerging expertise in agentic AI systems including LLM-based agents, tool use and reasoning frameworks for autonomous task execution
Technical Depth – Hands-on background with coding capability in data languages (Python, SQL, Spark), enabling credibility with engineering teams and participation in data work
Data Engineering Patterns – Strong understanding of ETL/ELT patterns, data quality frameworks, schema evolution and data lineage tracking
Cloud-Native Data – Experience with cloud data services and platforms across multi-vendor environments including data warehouses, data lakes and ML platforms
Platform Engineering Mindset – Ability to treat data and AI capabilities as platform products with clear service contracts and developer experience focus

Job Responsibility

Define and lead data and AI platform architecture strategy, establishing patterns that balance functional requirements with non-functional requirements including scalability, data quality, privacy and cost optimization
Work hand in hand with product engineering squads to establish data generation patterns, working directly with engineers to build data-informed products and AI capabilities
Drive architectural strategy for making data available across the organization through self-service data products, APIs and governed data access patterns
Lead the technical vision for AI capabilities distinguishing between machine learning for pattern recognition and agentic AI for autonomous task execution, establishing platform foundations for both
Champion data mesh principles where appropriate, enabling domain teams to own their data as products while maintaining consistency through federated governance
Establish MLOps practices and platforms that enable product teams to train, deploy and monitor machine learning models with the same velocity as application code
Collaborate with IT Systems and NaaS architects to ensure telemetry, network data and business systems generate high-quality data with proper lineage and governance
Work across multi-vendor environments including cloud data platforms, on-premise data systems and SaaS analytics tools to establish cohesive data architecture
Drive architectural governance for data and AI work ensuring solutions follow platform patterns for data quality, model governance and AI safety
Provide technical thought leadership on emerging data and AI technologies, evaluating applicability and translating possibilities into roadmaps aligned with BT International's platform strategy

What we offer

Cafeteria package - HUF 600,000/ year
Performance-based bonus
Comprehensive private health care package for all the employees, which can be extended to family members
Nursery support for mothers returning from maternity
Extended paternity leave: 10+10 day fully paid days
Commuting allowance
Home office allowance
Employee discount opportunities
Highly affordable mobile packages for the family as well
New high-class offices both in Budapest and Debrecen

Fulltime

Principal Java Data Engineer

Contribute to all phases of the software development life cycle; Play a crucial ...

Location

United States

Salary:

183000.00 - 203000.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

Principal Software Data Engineer with at least 10 years of professional experience in software or data engineering
Minimum of 4 years focused on data pipelines (batch and streaming)
Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor
Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines
Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads
Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations)
Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools
Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments
Proven experience with Lakehouse architectures and related technologies, including Apache Hudi, Azure ADLS Gen2, HDFS, and other big data technologies (Trino, Databricks, Spark)
Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and organization

Job Responsibility

Lead and guide the design and implementation of scalable distributed systems based on Java microservices
Engineer and optimize data pipelines using solutions like Apache Hudi, Apache Trino, Azure ADLS
Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset
Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies
Drive adoption of best practices in data governance, observability, and performance tuning for data workloads
Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment
Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response
Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work

What we offer

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition

Fulltime

Principal Java Data Engineer

PointClickCare is searching for a Principal Software Data Engineer who will cont...

Location

Canada , Mississauga

Salary:

156000.00 - 174000.00 CAD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

Principal Software Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on data pipelines (batch and streaming)
Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor
Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines
Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads
Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations)
Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools
Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments
Proven experience with Lakehouse architectures and related technologies, including Apache Hudi, Azure ADLS Gen2, HDFS, and other big data technologies (Trino, Databricks, Spark)
Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and organization.

Job Responsibility

Lead and guide the design and implementation of scalable distributed systems based on Java microservices
Engineer and optimize data pipelines using solutions like Apache Hudi, Apache Trino, Azure ADLS
Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset
Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies
Drive adoption of best practices in data governance, observability, and performance tuning for data workloads
Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment
Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response
Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work.

What we offer

Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!

Fulltime

Principal Data Architect

We are seeking a Principal Data Architect to lead our Data Platforms Team and dr...

Location

Salary:

Not provided

Wingify

Expiration Date

Until further notice

Requirements

12+ years of experience in software/data engineering, with at least 3+ years in a leadership role
Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS
Proficiency in SQL, Python, and Scala for data processing and analytics
Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services
Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice
Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks
Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.)
Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB
Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK

Job Responsibility

Lead and mentor a team of data engineers, ensuring high performance and career growth
Architect and optimize scalable data infrastructure, ensuring high availability and reliability
Drive the development and implementation of data governance frameworks and best practices
Work closely with cross-functional teams to define and execute a data roadmap
Optimize data processing workflows for performance and cost efficiency
Ensure data security, compliance, and quality across all data platforms
Foster a culture of innovation and technical excellence within the data team

What we offer

Work on cutting-edge data technologies and large-scale distributed systems
A remote-friendly work environment with flexible working hours
A culture of innovation, learning, and open communication
Competitive compensation, benefits, and growth opportunities

Fulltime

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...

Location

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

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

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

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

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...

Location

Poland , Warsaw

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

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

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

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

Data Governance Foundation Principal

Citi

Location:
United States , New York

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 01, 2026

Expiration:
February 08, 2026

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