Data engineering program manager

Tata Consultancy Services; Mounds View (MN); On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Discretionary Incentive

Comprehensive Medical Coverage

Parental Leaves

401K Plan

Certification & Training Reimbursement

Vacation & Holidays

Job summary

Tata Consultancy Services in the United States seeks a Senior Data Program Leader to drive end-to-end delivery of enterprise data engineering and analytics programs. You will define roadmaps, manage multiple workstreams, and report to executives on progress and governance.

Lead platform modernization, cloud migrations, and alignment of business goals with technology roadmaps while coordinating global teams of architects, engineers, and product owners.

Qualifications

• Snowflake: Data Warehousing, Snowpark, Data Sharing, Performance Optimization, Security & Governance.
• Databricks: Lakehouse Architecture, Delta Lake, Unity Catalog, Spark / PySpark, ML & AI workloads.
• Cloud Platforms: AWS preferred; Azure and GCP exposure beneficial.
• Data Engineering Technologies: Python, SQL, DBT, Airflow, ETL/ELT frameworks, API integration.
• Data Management: Data Modeling, Data Governance, Master Data Management, Data Quality.

Responsibilities

• Lead end-to-end delivery of enterprise data engineering and analytics programs.
• Define program roadmap, milestones, dependencies, risks, and governance structures.
• Manage multiple concurrent projects spanning data ingestion, transformation, warehousing, analytics, and AI/ML initiatives.
• Drive executive-level status reporting and steering committee governance.
• Partner with business and IT leaders to define enterprise data strategies leveraging Snowflake and Databricks.
• Oversee platform modernization, data lakehouse, and cloud migration initiatives.
• Ensure alignment between business objectives, architecture standards, and technology roadmaps.
• Coordinate global teams of architects, data engineers, cloud engineers, analysts, and product owners.
• Manage Agile delivery across multiple workstreams.
• Track program KPIs including schedule, financials, quality, productivity, and business outcomes.
• Ensure successful transition from project implementation to steady-state operations.
• Serve as the primary liaison between business leaders, data teams, architecture groups, and external partners.
• Facilitate steering committee reviews and executive presentations.
• Drive decision-making and issue resolution across organizational boundaries.
• Ensure compliance with enterprise data governance standards.
• Oversee data quality, metadata management, security, privacy, and regulatory requirements.
• Drive adoption of data cataloging and lineage frameworks.
• Manage program budgets and forecasts.
• Oversee vendor performance and contractual deliverables.
• Track business value realization and ROI for data initiatives.
• Identify opportunities to leverage AI/GenAI, automation, and advanced analytics.
• Promote engineering best practices and operational excellence.
• Drive platform optimization, FinOps, and cost governance initiatives.
• Program delivery within budget and schedule.
• Business value realization from data initiatives.
• Data platform adoption and user satisfaction.
• Reduced time-to-insight and improved analytics capabilities.
• Improved platform reliability, scalability, and cost efficiency.
• Successful governance and regulatory compliance adherence.

Skills

Snowflake DW

Databricks Lakehouse

Cloud Platforms

Python & SQL

Data Governance

Education

BACHELOR OF COMPUTER SCIENCE

Tools

Snowflake

Databricks

AWS

Azure

GCP

Airflow

DBT

Job description

Job Description

Must Have Technical/Functional Skills

• Snowflake: Data Warehousing, Snowpark, Data Sharing, Performance Optimization, Security & Governance.
• Databricks: Lakehouse Architecture, Delta Lake, Unity Catalog, Spark / PySpark, ML & AI workloads.
• Cloud Platforms: AWS preferred; Azure and GCP exposure beneficial.
• Data Engineering Technologies: Python, SQL, DBT, Airflow, ETL/ELT frameworks, API integration.
• Data Management: Data Modeling, Data Governance, Master Data Management, Data Quality.

Certifications & Domain Knowledge

• PMP, PgMP, SAFe Program Consultant, or SAFe Agilist certification.
• Snowflake certification and/or Databricks certification.
• AWS/Azure Solution Architect certification.
• Experience leading AI/GenAI-enabled data programs.
• Experience with healthcare compliance requirements such as HIPAA, GxP, and FDA-regulated environments.

Roles & Responsibilities

Program Leadership

• Lead end-to-end delivery of enterprise data engineering and analytics programs.
• Define program roadmap, milestones, dependencies, risks, and governance structures.
• Manage multiple concurrent projects spanning data ingestion, transformation, warehousing, analytics, and AI/ML initiatives.
• Drive executive-level status reporting and steering committee governance.

Data Platform Strategy

• Partner with business and IT leaders to define enterprise data strategies leveraging Snowflake and Databricks.
• Oversee platform modernization, data lakehouse, and cloud migration initiatives.
• Ensure alignment between business objectives, architecture standards, and technology roadmaps.

Delivery Management

• Coordinate global teams of architects, data engineers, cloud engineers, analysts, and product owners.
• Manage Agile delivery across multiple workstreams.
• Track program KPIs including schedule, financials, quality, productivity, and business outcomes.
• Ensure successful transition from project implementation to steady-state operations.

Stakeholder Engagement

• Serve as the primary liaison between business leaders, data teams, architecture groups, and external partners.
• Facilitate steering committee reviews and executive presentations.
• Drive decision-making and issue resolution across organizational boundaries.

Data Governance & Compliance

• Ensure compliance with enterprise data governance standards.
• Oversee data quality, metadata management, security, privacy, and regulatory requirements.
• Drive adoption of data cataloging and lineage frameworks.

Financial & Vendor Management

• Manage program budgets and forecasts.
• Oversee vendor performance and contractual deliverables.
• Track business value realization and ROI for data initiatives.

Innovation & Continuous Improvement

• Identify opportunities to leverage AI/GenAI, automation, and advanced analytics.
• Promote engineering best practices and operational excellence.
• Drive platform optimization, FinOps, and cost governance initiatives.

Generic Managerial Skills, If any

• Program delivery within budget and schedule.
• Business value realization from data initiatives.
• Data platform adoption and user satisfaction.
• Reduced time-to-insight and improved analytics capabilities.
• Improved platform reliability, scalability, and cost efficiency.
• Successful governance and regulatory compliance adherence.

Salary Range

$150,000 -$180,000 year

TCS Employee Benefits Summary

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Qualifications:

BACHELOR OF COMPUTER SCIENCE