Technical Program Manager - Data Engineering

Tredence Inc.; Dallas (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Tredence Inc. seeks an experienced Technical Program Manager with a strong Data Engineering background to drive large-scale consulting and data transformation programs. You will partner with business stakeholders, architects, and clients to deliver scalable data solutions while ensuring timelines and quality.

Lead cross-functional teams, govern delivery, and coordinate multi-workstream initiatives. Ideal candidates have 8+ years in IT and 3+ years in PMI/Delivery roles, with cloud data platform

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 8+ years of IT experience with at least 4+ years in Data Engineering/Data Platform projects.
• 3+ years in Program Management, Technical Project Management, or Delivery Management roles.
• Strong understanding of Data Warehousing, Data Lakes, ETL/ELT, Data Governance, and Analytics solutions.
• Demonstrated experience managing large-scale client-facing delivery programs.
• Excellent stakeholder management, communication, and leadership skills.
• Experience working in Agile and hybrid delivery models.

Responsibilities

• Lead end-to-end delivery of enterprise data engineering and analytics programs.
• Drive project planning, execution, risk management, dependency tracking, and stakeholder communications.
• Manage cross-functional teams including Data Engineers, Architects, Analysts, QA, and Business Stakeholders.
• Own delivery governance, status reporting, budget tracking, and executive-level updates.
• Establish project roadmaps and ensure successful execution against milestones.
• Coordinate across multiple workstreams to deliver complex data transformation initiatives.
• Engage with clients to translate requirements into scalable technical solutions.
• Support pre-sales, effort estimations, solution reviews, and proposal development when needed.

Skills

Data Modeling

Data Warehousing

SQL & Performance Tuning

Data Migration & Modernization

Batch & Near Real-Time Processing

Data Quality & Governance

Stakeholder Management

Program Management

Cloud Data Platforms

Education

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field

Tools

BigQuery

Databricks

Informatica

Dataform

TIBCO

Tableau

Job description

Technical Program Manager - Data Engineering

Role Overview

We are looking for an experienced Technical Program Manager (TPM) with a strong Data Engineering background and proven experience driving large-scale consulting, client delivery, and data transformation programs. The ideal candidate will combine technical depth in modern data platforms with strong stakeholder management, program governance, and execution capabilities.

This role requires partnering with business stakeholders, architects, engineering teams, and clients to deliver scalable data solutions while ensuring timelines, quality, and business outcomes are achieved.

Key Responsibilities

Program & Delivery Management

• Lead end-to-end delivery of enterprise data engineering and analytics programs.
• Drive project planning, execution, risk management, dependency tracking, and stakeholder communications.
• Manage cross-functional teams including Data Engineers, Architects, Analysts, QA, and Business Stakeholders.
• Own delivery governance, status reporting, budget tracking, and executive-level updates.
• Establish project roadmaps and ensure successful execution against agreed milestones.
• Coordinate across multiple workstreams to deliver complex data transformation initiatives.

Client & Consulting Engagement

• Engage with clients and business stakeholders to understand requirements and translate them into scalable technical solutions.
• Act as a trusted advisor for data modernization, migration, reporting, and analytics initiatives.
• Lead workshops, requirement gathering sessions, and solution discussions.
• Manage customer expectations and drive successful business outcomes.
• Support pre-sales, effort estimations, solution reviews, and proposal development when needed.

Data Engineering Leadership

• Collaborate with architects and engineering teams to define data platform strategy and implementation roadmaps.
• Ensure adoption of best practices in data architecture, ETL/ELT development, data quality, governance, and performance optimization.
• Drive modernization initiatives involving cloud data platforms and advanced analytics ecosystems.
• Review technical designs and provide guidance on scalable and resilient data solutions.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 8+ years of overall IT experience with at least:
• 4+ years in Data Engineering/Data Platform projects.
• 3+ years in Program Management, Technical Project Management, or Delivery Management roles.
• Strong understanding of Data Warehousing, Data Lakes, ETL/ELT, Data Governance, and Analytics solutions.
• Demonstrated experience managing large-scale client-facing delivery programs.
• Excellent stakeholder management, communication, and leadership skills.
• Experience working in Agile and hybrid delivery models.

Technical Skills

Candidate should have hands-on experience with at least 2-3 of the following technologies/platforms:

Data Platforms & Cloud

• BigQuery
• Databricks

Data Integration & ETL

• Informatica
• Dataform
• TIBCO

BI & Analytics

• Tableau

Core Data Engineering Skills

• Data Modeling
• Data Warehousing
• SQL and Performance Tuning
• Data Migration and Modernization
• Batch and Near Real-Time Processing
• Data Quality and Governance

Preferred Qualifications

• Experience leading cloud data migration or modernization programs.
• Exposure to enterprise data architecture and analytics initiatives.
• Consulting experience with system integrators, technology consulting firms, or client-facing delivery organizations.
• Certifications in PMP, Agile/Scrum, GCP, Databricks, or relevant cloud/data technologies.
• Experience managing globally distributed teams.