Technical Program Manager - Data Engineering
Videris is hiring a hands-on Technical Program Manager with 15+ years of experience to lead a large-scale data transformation for a US telecom client. Day to day they orchestrate discovery of legacy pipelines, manage delivery of data assets on Snowflake, write complex SQL for reconciliation, and act as the bridge between engineers and the client.
- Compensation
- $140K–$160K / yr
- Location
- Jersey City
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 15+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 15+ years of experience delivering large-scale data warehousing or legacy modernization programs, preferably in Telecom
- Advanced SQL proficiency for audit, reconciliation, and troubleshooting
- Architectural knowledge of Snowflake, dbt, and Matillion and how they integrate into scalable ELT pipelines
- Experience reverse-engineering business logic from undocumented or cryptic legacy systems
- Experience with Agile or hybrid delivery models
- Bachelor's degree in Computer Science, Engineering, or a related field
Nice to have
- Prior experience as a Data Engineer, Data Architect, or Solutions Architect
- Master's/MBA
Full description
Compensation: $140k – $160k • No equity
Videris is a leading Data Platform, System Integration firm serving, Telecom, Healthcare, Fintech, Aviation Domains. We consolidate multi-domain data complexity into a singular, high-performance intelligence layer.
Videris is seeking a Technical Program Manager with 15+ years of experience to lead a large-scale data
transformation for a US Telecom client. This is a hands-on role requiring a leader who remains technically involved in the architectural design and data reconciliation phases of the program. You will manage the end-to-end delivery of data assets on Snowflake, acting as the primary point of contact between the engineering team and
the client.
Key ResponsibilitiesDiscovery Orchestration: Direct the deconstruction of legacy pipelines to define core business logic. Provide technical oversight to identify logic gaps or 'dead nodes' that engineers may overlook during their primary analysis.
Functional Slicing & Integration: Break down monolithic legacy flows into manageable work packages. Ensure that triaged sub-projects are cohesively reintegrated for final reconciliation, preventing 'tribal knowledge' silos within the team.
Execution in Ambiguous Environments: Maintain delivery momentum when requirements are incomplete. Drive the discovery process with the client and engineering team to resolve technical unknowns while meeting milestones.
Hands-On Technical LeadershipSQL Reconciliation (RECON): Lead the data integrity effort by writing and executing complex SQL queries to validate coverage. Roll up sleeves to debug bottlenecks or assist engineers in interpreting cryptic flows during critical delivery windows.
Design and Risk Mitigation: Proactively identify design risks in the data model or transformation logic. Review pipelines and debug technical bottlenecks alongside the engineering team when necessary to maintain schedule.
Quality Oversight: Conduct design and code reviews to ensure the implementation is scalable, re-runnable, and adheres to the defined architecture.
Client & Program ManagementTechnical Stakeholder Engagement: Manage technical discussions with the client, providing operational updates and solutioning design issues in real-time.
Milestone Delivery: Coordinate cross-functional workstreams to ensure on-time delivery. Manage client expectations regarding technical trade-offs and project scope.
Resource and Triage Management: Ensure team members are unblocked and that integrated workstreams are cohesive and aligned with the final program objectives.