Senior Technical Program Manager – Data Engineering

Overview

We are looking for a Senior Technical Program Manager to join our Technology Organization, aligned with our Data Engineering function. This is a hands-on execution role coordinating across Data Engineering, Product Engineering, BI/Analytics, System Engineering, and NOC — where shared infrastructure, legacy systems, and evolving platforms create complex, interdependent delivery challenges. The ideal candidate is a strong self-starter who navigates ambiguity, builds cross-functional relationships, and drives business-critical initiatives with sound judgment on both immediate and long-term trade-offs.

The program portfolio spans large-scale data platform migrations, ETL/ELT pipeline development, BI reporting migrations, and data architecture modernization across legacy and modern platforms — including programs where a single infrastructure change creates cascading dependencies across multiple downstream product teams.

Primary Job Responsibilities

Strategic Program Leadership

• Lead strategic program planning and execution — driving discovery, prioritization, milestone development, dependency management, and risk mitigation in close collaboration with product and engineering leads.
• Communicate progress, risks, and retrospectives consistently across all stakeholder levels.
• Manage programs where shared data infrastructure serves as a dependency for multiple concurrently executing product teams, maintaining alignment across competing priorities while the underlying platform evolves.
• Define and track measurable success criteria for data platform programs, including pipeline SLA targets, consumer team readiness gates, data quality acceptance benchmarks, and migration sign-off standards.
• Proactively identify and remove impediments, lead issue resolution, and support teams balancing competing priorities.
• Partner with stakeholders, product managers, and engineering teams to translate requirements into technical execution plans and collaborate on solution architecture from design through deployment and adoption.
• Ensure continuity of systems and data flows through migrations, upgrades, and platform changes by coordinating across data, application, and infrastructure layers to protect downstream consumers and production environments.

Data Engineering Program Management

• Lead end-to-end planning of large-scale data platform migrations from legacy big data environments to modern platforms, including migration roadmap definition, API/query/table dependency mapping, phased cutover sequencing, and multi-workstream coordination across consuming teams.
• Drive data quality and validation strategies for production migrations, including pre- and post-migration validation frameworks, rollback plans, and sign-off criteria.
• Track and communicate platform health, SLA adherence, and risk posture to engineering leadership.
• Manage complex, multi-phase infrastructure upgrade programs, including platform version upgrades, cluster expansions, and compute environment migrations.
• Facilitate alignment between data engineering teams and downstream consumers such as application teams, analytics, business intelligence, and marketing operations to ensure pipeline continuity through platform transitions.
• Support data governance and lineage documentation efforts to improve discoverability, quality, and reliability of data assets across the organization.

Skills and Qualifications

• 8 years of Technical Program Management experience within a scaled technology organization.
• Proven track record managing concurrent programs spanning multiple engineering teams, product lines, and organizational boundaries.
• Background in product-driven SaaS or subscription-based businesses where data infrastructure directly supports revenue-generating products.
• Demonstrated ability to manage programs with significant discovered scope, where dependency mapping reveals additional technical complexity throughout execution.
• Strong stakeholder management skills in shared-infrastructure environments with competing priorities and timelines.
• Experience building and adapting program management workflows using low-code or no-code platforms, including project tracking, reporting templates, and cross-functional dashboards.
• BS/BA degree required, preferably in Computer Science or another technical discipline.

Data Engineering Requirements

• 3 years managing data engineering programs with demonstrated experience planning and executing complex, multi-phase data migrations.
• Strong understanding of distributed systems and modern data architectures, including data lakes, data warehouses, and pipeline ecosystems.
• Familiarity with big data infrastructure technologies such as Hadoop, Spark, Impala, Postgres, or similar platforms.
• Experience managing cross-team dependencies between data engineering and application teams involving shared APIs, tables, and pipelines.
• Ability to engage technically with data engineers on topics such as schema design, data lineage, partitioning strategies, and query migration without requiring hands-on coding responsibilities.
• Understanding of business intelligence tools and how reporting layers depend on underlying data pipeline health.
• Experience managing platform upgrades, infrastructure modernization efforts, or large-scale technology migrations.

Preferred Qualifications

• Scrum Master, Scaled Agilist, or PMP Certification.
• Experience owning end-to-end program strategy and communicating outcomes to senior leadership.
• Track record of maintaining alignment and momentum on long-horizon programs (12 months) where scope, priorities, and resources regularly evolve.

Data Engineering Preferred Qualifications

• Familiarity with modern analytical data platforms such as Snowflake, Vertica, Apache Doris, or similar technologies.
• Experience with data orchestration and transformation tools such as dbt, Apache Airflow, Informatica, Pentaho, or comparable platforms.
• Experience with cloud-based data platforms across AWS, GCP, Azure, and hybrid infrastructure environments.
• Experience supporting data governance, data quality, privacy, or compliance initiatives.
• Exposure to machine learning or predictive analytics programs from a Technical Program Management perspective.

Compensation

Base salary is expected to be up to $140,000 range, depending on skills, qualifications, and experience.

Benefits

• Medical, dental, and vision insurance
• Flexible Spending Accounts (FSA)
• Short-term and long-term disability insurance
• Life and AD&D insurance
• 401(k) retirement savings plan with company match
• Paid time off (PTO) and paid holidays
• Commuter benefits
• Employee Assistance Program (EAP)
• Well-being coaching services
• Voluntary benefits including home, auto, and pet insurance
• Discounted legal and financial services