Director of Data Engineering leading data architecture and analytics at Petfolk. Overseeing data infrastructure and managing a data team to drive AI and business intelligence solutions.
Responsibilities
Lead the design, development, and optimization of our data architecture and infrastructure using AWS, Postgres, Snowflake, and associated technologies.
Oversee and implement ETL/ELT pipelines using FiveTran, Airbyte, and manage data activation via High Touch and similar technologies.
Collaborate closely with Engineering, Product, and Business stakeholders to define and implement scalable data solutions.
Guide the integration and application of AI/ML tooling to support data products and business intelligence.
Establish and enforce best practices for data quality, security, privacy, and governance.
Support DevOps practices related to data including CI/CD pipelines, infrastructure as code, and system monitoring.
Build and mentor a team of data engineers and analysts to support business and technical data needs.
Own the data roadmap and drive key initiatives across the data lifecycle.
Requirements
7+ years of experience in data engineering, DevOps, or a related field, with at least 2 years in a leadership role.
Expert knowledge of AWS cloud services and infrastructure.
Deep experience with PostgreSQL, Snowflake, FiveTran, Airbyte, High Touch and modern data stack tools.
Familiarity with AI tooling, model deployment, and data science workflows.
Proficiency in Python and SQL etc.
Proven ability to manage end-to-end data solutions from ingestion to visualization.
Strong leadership, project management, and communication skills.
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