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Data Engineering Manager

Jobs via Dice, Coppell, Texas, United States, 75019

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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, and engineers, ensuring blockers are removed and deliverables stay on track

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, Deloitte, and cloud vendors (Google, AWS, etc.)

Act as the bridge between engineering execution and program leadership, ensuring clarity in priorities, milestones, and dependencies

TECHNICAL OVERSIGHT

Snowflake pipelines (Bronze, Silver layers)

DBT transformations and configuration

Semantic view modeling for BI/reporting

Testing frameworks and validation processes

REQUIREMENTS

10+ years of experience in data engineering and delivery leadership

Proven track record managing delivery of Snowflake-based data platforms (pipelines, ETL, semantic layers)

Strong background in data pipeline testing, validation, and quality frameworks

Experience working with consulting partners (Deloitte preferred) 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

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.)

Why Join Us

High‑visibility, multi‑million‑dollar program with significant executive support

Opportunity to lead a Snowflake‑first enterprise data platform

Strong potential for extension beyond initial 9 months as transformation roadmap evolves

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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