CrawlJobs Logo
Charles Schwab Logo Charles Schwab · IT - Software Development

Senior Team Manager, Data Engineering - Cloud Platform

United States, Austin Employment contract 160000.00 - 190000.00 USD / Year · Job Posted July 05, 2026
Apply Position
Job Link Share

Job Description

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s). In this role, you’ll lead a highly skilled data engineering team responsible for designing and delivering cloud-based data platforms that power critical business insights across the firm. You’ll partner closely with architects, product teams, and business leaders to shape scalable, secure, and reliable data solutions while creating an environment where engineers can do their best work, grow their careers, and see the impact of what they build. If you’re energized by leading people, solving complex data problems, and building platforms that matter, this is an opportunity to own your tomorrow at Schwab.

Job Responsibility

  • Lead and develop a team of data engineers, providing clear direction, mentorship, and career development support
  • Partner with business stakeholders to understand strategic and financial objectives and translate them into scalable data solutions
  • Plan, estimate, prioritize, and coordinate technical activities across data engineering initiatives
  • Define and enforce standards, guidelines, and best practices for data design, development, testing, and deployment
  • Oversee ETL design, development, data management, and analytics delivery to ensure solutions meet functional and non-functional requirements
  • Identify and manage project dependencies and downstream impacts across applications and platforms
  • Evaluate new tools and technologies, lead proofs of concept, and recommend improvements to the enterprise data landscape
  • Collaborate with internal teams and external vendors to resolve platform issues and keep delivery on track
  • Ensure alignment with architecture policies, security standards, and development methodologies
  • Work effectively with onshore and offshore teams to deliver high-quality, timely solutions
  • Provide hands-on technical guidance and coding support when needed
  • Identify opportunities for system reuse, simplification, and continuous improvement

Requirements

  • Bachelor's degree in Engineering, Technology, or a related field
  • 12+ years of experience designing, developing, and supporting ETL and database solutions
  • 7+ years of experience leading small to mid-sized technology projects
  • 3+ years of people leadership experience supporting highly technical teams
  • 3+ years of hands-on experience with Informatica Intelligent Data Management Cloud (IDMC)
  • 3+ years of experience with Control-M
  • 3+ years of experience working with Google Cloud Platform technologies, including GCS, BigQuery, and Dataproc
  • Strong data modeling skills supporting operational and analytical reporting systems
  • Deep understanding of data warehouse concepts and cloud-based architecture patterns
  • Strong SQL skills and solid understanding of relational database concepts
  • Experience working in Agile delivery models using tools such as Jira
  • Excellent written, verbal, and interpersonal communication skills

Nice to have

  • Experience working in the financial services industry
  • Proficiency with Python, Perl, or other scripting languages
  • Familiarity with source control and DevOps tools and CI/CD best practices

What we offer

  • 401(k) with company match
  • Employee stock purchase plan
  • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
  • Paid parental leave and family building benefits
  • Tuition reimbursement
  • Health, dental, and vision insurance
  • Medical, dental and vision benefits
  • Sabbatical leave available after five years of employment
Charles Schwab - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Senior Team Manager, Data Engineering - Cloud Platform

8 matching positions

Senior Cloud Solution Architect - Cloud & AI Data Platform

We are looking for a Senior Cloud Solution Architect – Cloud & AI Data Platform ...
Location
Location
United States , Multiple Locations
Salary
Salary:
106400.00 - 251900.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
  • This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.
Job Responsibility
Job Responsibility
  • Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record (e.g., pipeline updates, time tracking)
  • Collaborates across Microsoft and customer/partner teams through on-strategy delivery to achieve customer/partner objectives and increase customer/partner satisfaction
  • Proactively manages business and technical risks, adapts methodology and applies governance principles to identify, communicate, and minimize business and technical risks
  • Executes work in compliance with industry and Microsoft guidelines and procedures
  • Continuously prioritizes among competing demands in their work and identifies where impact occurs with customers, ensuring alignment with business priorities and goals
  • Delivers solutions in line with company methodologies (e.g., product offerings such as value-based deliverables [VBDs], advice, training, technical validation), ensuring proven practices and patterns are followed to prepare customers for operational readiness and achievement of their business goals and targets
  • Leveraging knowledge of change management proven practices and/or involving the change management team, proactively helps the customer deploy for long-term organizational adoption to increase customer satisfaction and drive consumption/usage
  • Guides customers/partners towards a well-architected (e.g., secure, resilient, artificial intelligence [AI]-enabled), and cost- and performance-optimized solution to increase retention and expansion opportunities
  • Provides feedback to Unified Delivery Team on VBDs to refine and further develop content
  • Proactively identifies new opportunities for Consumption, Usage & Unified expansion (especially Enhanced Solutions) at scale based on business value to customer/partner and clear understanding of the Microsoft value proposition for supported platforms to empower cloud success, foster and strengthen security and resiliency, and drive AI innovation
What we offer
What we offer
  • Certain roles may be eligible for benefits and other compensation.
  • Fulltime
Read More
Arrow Right

Senior Manager Platform Engineering

Apex Fintech Solutions is seeking a Senior Manager, Platform Engineering to lead...
Location
Location
Philippines , Manila
Salary
Salary:
Not provided
apexclearing.com Logo
Apex Clearing
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline (or equivalent work experience) required
  • 10+ years prior experience in cloud-native platform or software development
  • 5+ years leading engineering teams in fast-paced environments
  • Track record of building secure, high-performance services
  • Experience with cloud platforms and modern DevOps practices
  • Advanced knowledge of software testing and automation tools
  • Ability to adapt quickly to new technologies and lead teams in learning and implementing these technologies
  • Ability to manage multiple projects simultaneously while maintaining attention to details
  • Excellent problem-solving skills and ability to think strategically about technology-driven solutions
  • Demonstrated leadership abilities in creating clarity, generating energy, and delivering success
Job Responsibility
Job Responsibility
  • Lead a team of Platform Engineers in building high-quality, scalable, and resilient distributed systems
  • Foster an environment of rapid learning and adaptation to new technologies, tools, and frameworks
  • Collaborate closely with cross-functional teams to ensure the integration and deployment of best-in-class financial services solutions
  • Manage and mentor engineering teams, encouraging continuous improvement and professional growth
  • Grow and mentor engineers and developers to implement best-practices and collectively collaborate across teams to build and integrate innovative products.
  • Adhere to and drive modern software engineering practices through code and design reviews, and by using data and AI to make decisions.
  • Build collaborative and productive relationships with development, product and program managers along with broader business stakeholders to define Apex’ platform strategy and help accomplish key business objectives.
  • Provide progress reports to project teams, stakeholders, and senior leadership.
  • Have a strong understanding of business and technical problems that teams are solving for, and can work with stakeholders and teams to clarify, prioritize, and organize team’s work based on this knowledge.
  • Perform risk analysis to identify and effectively manage risks
What we offer
What we offer
  • Market-leading salary with an annual bonus
  • 20 days of vacation leave plus regular and special non-working holidays
  • Training and development budget
  • Private health insurance for medical and dental
  • Life insurance
  • Flexible working hours
  • Parental leave
  • Modern city center office
  • Hybrid work schedule
  • Monthly team lunch-outs
  • Fulltime
Read More
Arrow Right

Engineering Manager - Data Platform

We are seeking an Engineering Manager to lead our Measurement Data Engineering t...
Location
Location
Canada , Vancouver
Salary
Salary:
Not provided
twocircles.com Logo
Two Circles
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of experience in software engineering, data engineering, or a closely related technical field
  • 2+ years of experience managing, coaching, or formally leading engineers
  • Experience leading engineering teams in a fast-paced, agile product environment
  • Strong understanding of modern data engineering concepts, including data pipelines, data quality, orchestration, batch processing, cloud infrastructure, and production operations
  • Experience working with cross-functional stakeholders such as Product Management, QA, Support, Client Enablement, Engineering Directors, and business teams
  • Experience supporting performance management, goal setting, career development, feedback conversations, and team planning
  • Experience improving engineering processes, delivery predictability, team collaboration, and operational maturity
  • Experience participating in hiring, onboarding, and growing engineering teams
  • Strong people leadership skills with the ability to coach, motivate, and develop engineers at different career stages
  • Proven ability to create clarity, alignment, and accountability within a team
Job Responsibility
Job Responsibility
  • Lead, coach, and support a team of data engineers through regular 1:1s, performance conversations, feedback, and career development planning
  • Drive team effectiveness across regions by improving ways of working, delivery processes, collaboration patterns, and engineering practices
  • Partner with Product, QA, Engineering Leadership, Support, and Client Enablement to align priorities, clarify expectations, and ensure successful delivery
  • Foster a culture of ownership, accountability, technical excellence, collaboration, and continuous learning
  • Support the growth of the India-based engineering hub by contributing to hiring, onboarding, and team development
  • Manage multiple data engineers, providing line management, coaching, feedback, and performance support
  • Build and maintain a high-performing engineering team by setting clear expectations, creating development plans, and supporting individual career growth
  • Own goal setting, performance planning, and regular performance conversations for team members
  • Partner with the Engineering Director to translate engineering strategy into actionable team goals and priorities
  • Work closely with Product Management to understand roadmap priorities, clarify scope, and support predictable delivery
  • Fulltime
Read More
Arrow Right

Senior Manager, Data Engineering

Stanford Health Care is seeking a dynamic and experienced Senior Manager of Data...
Location
Location
United States , Palo Alto
Salary
Salary:
83.98 - 111.27 USD / Hour
stanfordhealthcare.org Logo
Stanford Health Care
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. A Master’s degree is preferred
  • 8+ years of hands-on experience in data engineering, data warehousing, or a related field
  • 3+ years of experience in a leadership or management role, directly managing multiple technical teams
  • Experience in a healthcare or academic medical center environment is highly desirable
  • Proven ability to lead, mentor, and grow multiple high-performing engineering teams
  • Expert knowledge of data engineering principles, including ETL/ELT, data modeling, and data architecture
  • Strong strategic planning skills with experience in developing roadmaps for both data engineering and enterprise analytics
  • Deep understanding of cloud data platforms (GCP, AWS, Azure) and modern data warehouse technologies (Databricks, Snowflake, BigQuery, Redshift)
  • Proficiency with big data technologies (e.g., Spark, Kafka) and workflow orchestration tools (e.g., Airflow)
  • Expert-level SQL skills and proficiency in a programming language such as Python or Scala
Job Responsibility
Job Responsibility
  • Lead, mentor, and manage multiple teams of data engineers, providing technical guidance, career development, and performance management
  • Foster a culture of collaboration, innovation, and operational excellence
  • Manage resource allocation, project prioritization, and team workloads to ensure timely delivery of key initiatives
  • Recruit, coach, and motivate team members, developing leadership competencies within the team
  • Oversee the design, development, and maintenance of scalable and robust data pipelines (ETL/ELT) to support analytics and data science
  • Define and drive the technical roadmap for our cloud-based data platforms (e.g., GCP, AWS, Azure) and data warehousing solutions (e.g., Databricks)
  • Define and implement the strategy for enterprise analytics and operational reporting, in collaboration with key business and clinical stakeholders
  • Partner with enterprise architecture, applications, and data science teams to ensure sustainable and scalable data management and solution delivery
  • Partner with key stakeholders across Stanford Medicine (Stanford Health Care, Stanford School of Medicine, and Stanford Medicine Partners), including data scientists, analysts, clinical leaders, and researchers, to translate data needs into technical requirements
  • Manage the full lifecycle of data engineering projects, from conception and planning to execution and delivery
  • Fulltime
Read More
Arrow Right

Senior Manager, Data Engineering, Provider Analytics

Healthfirst is in need of a Senior Manager, Data Engineering, Provider Analytics...
Location
Location
United States
Salary
Salary:
252712.00 - 260000.00 USD / Year
healthfirst.org Logo
Healthfirst
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree or foreign education equivalent in Computer Science, Electronics Engineering or related field
  • five (5) years of experience performing machine learning (ML) infrastructure and ML operations development within a health plan or provider organization
  • Demonstrated expertise using AWS or other public cloud platforms for fulfilling Data Engineering responsibilities
  • Demonstrated expertise performing data management and quality assurance
  • Demonstrated expertise engineering distributed systems and data infrastructure
  • Demonstrated expertise programming using R, python, Java, and C#
Job Responsibility
Job Responsibility
  • Improve the value and utility of provider data and provider data products
  • Create high-impact data products in the service of our internal business and external provider partners
  • Collaborate internally to build and maintain provider data assets and documentation
  • Manage and ensure data quality and assurance for the Provider Analytics team
  • Collaborate with the Provider Analytics team and Hyphen to build ML-based and provider facing decision support tools
  • Collaborate with the broader data management and data engineering teams to establish standards and practices around ML Ops, including governance, compliance, and data security
What we offer
What we offer
  • medical
  • dental
  • vision coverage
  • incentive and recognition programs
  • life insurance
  • 401k contributions
Read More
Arrow Right

Senior Data Engineering Manager

We’re scaling fast and need a hands-on Data Engineering Manager to join our dyna...
Location
Location
India
Salary
Salary:
Not provided
yipitdata.com Logo
YipitData
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, STEM, or a related technical discipline
  • 8+ years in data engineering (or adjacent), including 2-3+ years formally managing 1-3 engineers
  • Proven hands-on experience with: Big Data ecosystems (Spark, Hive, Hadoop)
  • Databricks (including Delta Lake, MLFlow, Unity Catalog)
  • Robust programming experience in Python and PySpark
  • Deep understanding of data modeling, ETL/ELT processes using Streaming, and performance tuning
  • Experience managing Agile teams and delivering complex projects on time
  • Excellent problem-solving, leadership, and communication skills
  • Experience designing and implementing Agentic Models with Data Pipelines (Data Cleaning and creative Feature Engineering)
  • Practical LLM/RAG experience for search quality such as query understanding, semantic retrieval, reranker design
Job Responsibility
Job Responsibility
  • Lead, mentor, and grow a team of data engineers working on large-scale distributed data systems
  • Architect and oversee the development of end-to-end data solutions using AWS Data Services and Databricks
  • Hire, onboard, and develop a high-performing team—1-on-1s, growth plans, and performance reviews
  • Collaborate with cross-functional teams including data science, analytics, product, and business stakeholders to understand requirements and deliver impactful data products
  • Drive best practices in data engineering, coding standards, version control, CI/CD, and monitoring
  • Ensure high data quality, governance, and compliance with internal and external policies
  • Optimize performance and cost efficiency of data infrastructure in the cloud
  • Architect and evolve our data platform (batch & streaming) for scale, cost, and reliability
  • Own the end-to-end vision and strategic roadmap for various projects
  • Create documentation, architecture diagrams, and other training materials
  • Fulltime
Read More
Arrow Right

Senior Manager Data Engineering

Lead data-driven transformation at Riverflex. At Riverflex, we help organization...
Location
Location
Netherlands , Amsterdam
Salary
Salary:
Not provided
riverflex.com Logo
Riverflex
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A Master’s Degree in Computer Science, Data Science, or a related field
  • 7+ years of experience in data engineering roles
  • Proven experience leading complex data engineering projects and technical teams
  • Strong hands-on expertise in Python, SQL, and distributed data processing frameworks (e.g. Spark)
  • Extensive experience with Azure and Databricks in enterprise environments
  • Deep understanding of data modeling, lakehouse architectures, and modern data warehousing concepts
  • Experience with real-time data ingestion, orchestration, and workflow management (e.g. Airflow, Azure Data Factory)
  • Strong background in DevOps/DataOps, CI/CD, and infrastructure as code (Terraform)
  • Solid understanding of data governance, quality, security, and compliance
  • Excellent communication, stakeholder management, and leadership skills
Job Responsibility
Job Responsibility
  • Lead the architecture, design, and delivery of end-to-end data platforms on cloud environments (Azure, Databricks)
  • Define and oversee the implementation of scalable, secure, and high-performance data pipelines (batch and real-time)
  • Act as the technical authority on data engineering topics across client engagements
  • Ensure platform reliability, performance, monitoring, and cost efficiency
  • Lead, mentor, and grow teams of data engineers, fostering engineering excellence and best practices
  • Set standards for data modeling, data quality, testing, documentation, and governance
  • Contribute to capability building within the D&A practice, including tooling, accelerators, and reusable frameworks
  • Support hiring, onboarding, and career development of data engineering talent
  • Serve as a trusted advisor to senior client stakeholders, translating business needs into technical solutions
  • Lead technical discussions, solution proposals, and roadmap planning with clients
What we offer
What we offer
  • An exceptional experience of working for a fast-growing start-up, with a fun, dynamic, and stable international environment
  • A unique opportunity to work in an open-talent network ecosystem with top industry specialists and consultants
  • Opportunities to work on projects for clients across all our international markets
  • A growth culture that values autonomy, initiative, and creativity, with fast growth opportunities
  • An experienced, ambitious, and innovative management team with a professional approach from previous Big 4 firms
  • Competitive salary and practical benefits such as flexible working arrangements, with the option to work from home or our office space in a start-up hub in the heart of Amsterdam
  • Fulltime
Read More
Arrow Right

Senior Manager- Data Engineering

Adtalem is a data-driven organization dedicated to driving best-in-class student...
Location
Location
United States , Lisle
Salary
Salary:
96404.10 - 169021.85 USD / Year
adtalem.com Logo
Adtalem Global Education
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, or related technical field
  • Eight (8) plus years in data engineering (data platforms, ingestion, management, or analytics)
  • Three (3) plus years in leadership roles building and managing high-performing teams
  • 2+ years experience with Google Cloud Platform services such as BigQuery, Composer, GCS, DataStream, and Dataflows
  • Proven track record of progressive responsibility starting as a Data Engineer, advancing to higher levels of complexity and ownership
  • Strong analytical skills with the ability to develop and reverse complex engineering solutions
  • Excellent oral, written, and presentation skills, translating complex technical material for management and stakeholders
  • Experience defining roadmaps, managing incremental execution, and delivering successful launches
  • Ability to manage multiple, competing priorities in an Agile, fast-paced environment
  • Experience mentoring and growing data engineers
Job Responsibility
Job Responsibility
  • Lead the design, implementation, and optimization of data pipelines, datasets, and metrics critical to business decisions
  • Build, mentor, and inspire a high-performing data engineering team
  • Define strategies for data acquisition, collection, and utilization across the organization
  • Establish and manage SLAs for all production datasets and processes
  • Collaborate closely with Product Managers, Analysts, and Data Scientists to develop and maintain data-driven systems
  • Develop self-service reporting and democratization layers to empower teams with data
  • Troubleshoot, code, test, and document solutions to ensure quality and reliability
  • Evaluate current processes to optimize interdepartmental communication, collaboration, and end-to-end process performance
  • Define technology roadmaps and manage incremental execution to achieve short- and long-term business goals
  • Serve as a key leader within the Data and Analytics organization, fostering a data-driven culture
What we offer
What we offer
  • Health, dental, vision, life and disability insurance
  • 401k Retirement Program + 6% employer match
  • Participation in Adtalem’s Flexible Time Off (FTO) Policy
  • 12 Paid Holidays
  • Eligible to participate in an annual incentive program
  • Fulltime
Read More
Arrow Right