Data Engineering Manager

Coppell, TX - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Title: Data Engineering Manager - Semantic Layer

Location: Hybrid Coppell TX (4 days onsite)

Duration: 9 Months

Role Overview

Must have strong Snowflake

About the Role

Our client is undergoing a large-scale transformation of its data platform moving from legacy systems to a Snowflake-based modern data ecosystem that supports AI BI and enterprise analytics. To drive execution and delivery across engineering workstreams we are seeking two Data Engineering Managers to serve as delivery leads for key tracks within the program.

These roles will provide hands-on delivery leadership technical oversight and risk management to ensure engineering milestones are met risks are addressed and assets are delivered on time and to specification.

Each Manager will own one of two tracks:

Snowflake Pipelines & ETL (Bronze/Silver layers) technical track focused on ingestion transformation testing and data platform build-out.
Semantic Views & Reporting Enablement business-focused track driving configuration of semantic layers reporting views and dashboard readiness for downstream consumers.

Key Responsibilities

Serve as the delivery lead for one of the core data engineering tracks (Snowflake pipelines/ETL or Semantic layer/reporting).
Ensure all engineering deliverables are executed against the program roadmap and timelines; identify risks and implement mitigation strategies.
Work daily with engineering teams internal program managers AVPs and business stakeholders to track progress and resolve issues.
Attend and contribute to daily scrums with onshore offshore engineers ensuring blockers are removed and deliverables stay on track.
Provide technical oversight for data engineering efforts including:

Snowflake pipelines (Bronze Silver layers)
DBT transformations and configuration
Semantic view modeling for BI/reporting
Testing frameworks and validation processes

Mentor and monitor engineers across the workstream; foster accountability and quality delivery.
Deliver polished status updates and risk reports to program managers and executive leadership (CIO AVPs executive steering committee).
Collaborate with PMO program managers ensuring alignment across business change management Consulting Firms and cloud vendors (Google AWS etc.).
Act as the bridge between engineering execution and program leadership ensuring clarity in priorities milestones and dependencies.

Qualifications

10 years of experience in data engineering and delivery leadership.
Must have Semantic Layer
Proven track record managing delivery of Snowflake-based data platforms (pipelines ETL semantic layers).

Hands-on experience with:

SQL Python PySpark
Snowflake (data modeling performance optimization RBAC Bronze/Silver/Gold architecture)
DBT for transformations/configurations
ETL/ELT tools (Airflow Informatica Glue ADF etc.)

Strong background in data pipeline testing validation and quality frameworks.
Experience working with consulting partners and distributed onshore/offshore engineering teams.
Excellent delivery and risk management skills able to foresee challenges maintain RAID logs and keep workstreams accountable.
Strong executive presence; comfortable reporting to AVPs CIO and executive steering committees.
Effective communicator who can bridge business and technical discussions.
Experience in financial services mortgage or other highly regulated industries preferred.

Title: Data Engineering Manager - Semantic Layer Location: Hybrid Coppell TX (4 days onsite) Duration: 9 Months Role Overview Must have strong Snowflake About the Role Our client is undergoing a large-scale transformation of its data platform moving from legacy systems to a Snowflake-based ...