We are not able to work with C2C employers for this role.  Candidates MUST be GC or USC to be considered.

We’re seeking an experienced Engineering Leader to join a growing Data Strategy, Engineering, and Data Science organization within a large enterprise IT environment. This individual will lead a small, agile engineering pod supporting 3–4 concurrent projects across the data platform, analytics, and business intelligence domains.
The ideal candidate is an engineering leader whose as comfortable guiding others as they are diving deep into technical problem solving — someone who can move fluidly between architecture discussions, stakeholder alignment, and hands-on design or troubleshooting when needed.
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Key Responsibilities

• Lead and mentor a small cross-functional engineering team (data engineers, analysts, BI developers) delivering multiple concurrent projects that serve enterprise data and analytics needs.
• Drive end-to-end project delivery — from problem definition and design through execution, testing, and delivery — ensuring high standards of quality, performance, and scalability.
• Engage in deep technical and design discussions, guiding solution approaches and removing blockers across data ingestion, transformation, and visualization layers.
• Oversee and contribute to projects such as:

o Building and optimizing data pipelines and ingestion frameworks (including integrations with Snowflake).
o Developing and maintaining BI dashboards and analytics solutions for business and executive stakeholders.
o Sunsetting and modernizing legacy data lakes, ETL pipelines, and reporting systems.
o Supporting ad-hoc data engineering and analytics initiatives from senior leadership or the Data Science organization.

• Collaborate with senior managers and data strategy leaders to align team objectives with overall enterprise data goals.
• Establish and reinforce engineering best practices in code quality, CI/CD, data modeling, documentation, and operational excellence.
• Act as a bridge between technical contributors and business stakeholders — translating complex requirements into scalable, maintainable solutions.

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Qualifications

• 7+ years of experience in software or data engineering, including 2+ years in a technical leadership or team-lead capacity.
• Strong hands-on understanding of modern data platform technologies, including Snowflake, SQL, Python, and ETL frameworks (dbt, Airflow, or similar).
• Experience in building or maintaining BI/analytics solutions (Power BI, Tableau, Looker, or similar).
• Proven ability to manage multiple concurrent initiatives, balancing strategic oversight with tactical execution.
• Familiarity with data architecture, data pipelines, and data governance principles in an enterprise context.
• Excellent communication and stakeholder management skills; able to collaborate effectively with data scientists, analysts, and executives alike.
• Demonstrated ability to lead through influence and foster a high-performing, collaborative team culture in a remote setting.

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Preferred Qualifications

• Prior experience with cloud data platforms (GCP, AWS, Azure) and modern DevOps practices.
• Exposure to data modernization or digital transformation initiatives at enterprise scale.
• Experience sunsetting or consolidating legacy BI/reporting platforms.
• Familiarity with machine learning or data science pipelines a plus.

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Why This Role Matters
This is a high-impact opportunity for an engineering leader who thrives at the intersection of data, engineering, and business outcomes. You’ll help shape the evolution of an enterprise data ecosystem, guiding both people and technology through modernization — and ensuring that insights and data are delivered with speed, precision, and purpose.