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Lead Data Engineer

Wearehaystack — United States · Posted ~3 hours ago

Lead

Skills

Data engineering Enterprise-scale data pipelines SQL Data transformation Data ingestion Data orchestration Data reconciliation Data validation Data security Technical leadership Data architecture Team mentoring Data pipelines ETL

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Summary ✨ AI‑Generated

Lead the design, development, and delivery of scalable enterprise data pipelines and foundational data assets. You will establish reliable data engineering practices, oversee ingestion, transformation, orchestration, reconciliation, and validation, and provide architectural guidance and mentorship to engineers. The role also involves collaborating with architecture and integration stakeholders and enabling trusted datasets for analytics, forecasting, and AI initiatives. A bachelor's degree in a relevant technical field and 8–12 years of data engineering experience are expected, along with strong SQL and data transformation expertise.

Highlights

Lead the development of enterprise-scale data platforms and pipelines while shaping engineering practices around scalability, reliability, security, and data quality. The role offers significant technical leadership, architectural influence, and mentoring responsibilities, with opportunities to enable analytics, forecasting, and AI initiatives.

Description

We're hiring on behalf of a Haystack partner! The Role • Lead the design, development, and delivery of enterprise data pipelines and foundational data assets. • Establish scalable and reliable data engineering practices, ensuring data accuracy, security, and accessibility. • Oversee data ingestion, transformation, orchestration, reconciliation, and validation processes. • Provide technical leadership, architectural guidance, and mentoring to data engineering team members. • Partner with Enterprise Architecture and Integration teams to align technical solutions with enterprise standards. • Support analytics, reporting, forecasting, and AI initiatives through the delivery of trusted datasets. What You'll Need • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Management, or a related field. • 8-12 years of experience in data engineering. • Proven experience delivering enterprise-scale data pipelines. • Strong SQL and data transformation expertise. • Experience with cloud data platforms, preferably Azure. • Experience integrating ERP and operational systems. What's On Offer • Competitive salary • Opportunity to lead technical teams and mentor engineers. • Exposure to a variety of operational platforms and data integration challenges. • Chance to shape data engineering standards and practices within an enterprise. Apply via Haystack today!