Senior Data Engineer at Capgemini designing and optimizing scalable data architectures on Databricks and GCP. Collaborating across teams to transform business needs into reliable technical solutions.
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
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Engineer transforming legacy on - premises systems to cloud - native architectures for advanced data analytics. Collaborating with teams to build efficient data solutions using Python and AWS.
Data Engineering Academy focused on Snowflake and Databricks for professionals interested in expanding their technical capabilities. Fully remote with future office work in Monterrey or Saltillo after completion.
Senior Data Engineer at Intent HQ designing and scaling data platforms. Building high - impact intelligence from millions of customer insights with a focus on performance and reliability.
SAP Data Engineer supporting MERKUR GROUP's evolution into a data - driven company. Responsible for data integration, modeling, and collaboration with various departments in Group Finance.
Data Engineer at Booz Allen Hamilton organizing data and developing advanced technology solutions. Leading data engineering activities for mission - driven projects and mentoring multidisciplinary teams.
Senior Data Engineer at Bristol Myers Squibb developing scalable data pipelines for foundational products. Collaborating with data scientists and IT professionals to ensure data quality and accessibility.
Sr. Data Engineer building and maintaining data infrastructure for Purpose Financial. Collaborating with teams to improve data services and analytics.
Data Engineer II role focusing on developing and maintaining data pipelines for analytics. Collaborating with Data Science and Analytics teams to ensure data quality and reliability.
Senior Data Architecture Specialist designing and maintaining data integration solutions for Morgan Stanley. Involved in building data architecture and optimizing data storage using various technologies.