Senior Data Engineer at Noda creating scalable data solutions for smarter, sustainable buildings. Collaborating with teams to optimize data for high - performance analytics.
About the role
- 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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