Data Engineer building and maintaining data ingestion pipelines for a leading AI startup. Ensuring data quality and collaborating with engineering teams to support product development.
About the role
- Senior Manager Data Engineering at Acuity Inc. leading data engineering team for AI-ready data ecosystem. Overseeing data integration and governance while fostering collaboration and innovation.
Responsibilities
- Lead, mentor, and grow data engineers and BI engineers, fostering a high-performance, collaborative culture.
- Define and execute the data engineering roadmap aligned with enterprise AI and analytics strategies.
- Collaborate with cross-functional teams (product, finance, IT security, operations) to ensure data priorities support business outcomes.
- Architect and oversee ingestion, transformation, and integration of diverse data sources (structured/unstructured, batch/streaming).
- Partner closely with ML/AI teams to understand data requirements, design AI-ready datasets, and ensure data pipelines support model training and inference.
- Enable CI/CD integration of ML models into production data pipelines and APIs.
- Build domain-oriented, enriched datasets that power analytics, operational insights, and advanced AI/ML use cases.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- 10+ years of experience in data engineering with at least 2+ years in a leadership role.
- Strong expertise in Databricks (PySpark/SQL), Azure Data Factory, and Data Lakehouse architectures.
- Proven experience enabling ML/AI use cases (model data pipelines, MLOps integration, feature store design).
- Hands-on knowledge of Power BI datasets and semantic models for analytics.
- Familiarity with compliance frameworks (SOX, GDPR, CCPA) and governance practices.
- Strong communication, stakeholder management, and cross-functional leadership skills.
Benefits
- health care
- dental coverage
- vision plans
- 401K benefits
- commissions/incentive compensation depending on the role
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