Engineering Manager-Data Analytics
Gilbert, AZ (Hybrid)
Contract
WHAT YOU'LL DO
We are seeking a strategic and hands-on Senior Manager of IT – Data Warehousing & Analytics to lead the design, development, and operation of our enterprise data platform. This role will be responsible for overseeing the implementation of a modern data warehouse using Snowflake and medallion architecture principles, with Tableau as the primary front-end reporting tool. The position is critical in establishing a scalable, governed data foundation to support business intelligence today—and enable advanced analytics and AI initiatives in the future.
WHERE YOU’LL WORK
- This position will work a hybrid schedule from our Gilbert, AZ location
HOW YOU’LL SPEND YOUR TIME
- Lead the architecture, design, and development of the enterprise data warehouse platform on Snowflake using medallion architecture (Bronze/Silver/Gold layers).
- Oversee data ingestion, transformation, and modeling pipelines to ensure data accuracy, scalability, and performance across the business.
- Manage a team of data engineers, BI developers, and analysts responsible for data integration, quality, governance, and reporting.
- Build and optimize Tableau dashboards and reporting solutions to deliver actionable insights to business stakeholders.
- Define and enforce data governance, security, and quality standards across data platforms.
- Collaborate with business units, product owners, and executive leadership to define key metrics and support data-driven decision-making.
- Lay the technical and architectural groundwork for AI/ML readiness, including data cataloging, feature engineering pipelines, and integration points with AI platforms.
- Drive the roadmap for the data platform, balancing short-term delivery needs with long-term innovation and scalability.
- Manage vendor relationships, contracts, and technical partnerships to support the data stack.
WHAT YOU'LL NEED
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
- 8+ years of experience in data engineering, data warehousing, or analytics, including 3+ years in a leadership or managerial role.
- Proven experience with Snowflake and cloud-based data warehouse architecture (AWS, Azure, or GCP).
- Deep understanding of medallion architecture and its application in scalable data solutions.
- Strong experience with Tableau or similar BI tools (Power BI, Looker).
- Knowledge of ETL/ELT processes, data pipelines (e.g., dbt, Airflow, Fivetran), and modern data engineering best practices.
- Experience establishing data governance, lineage, and cataloging frameworks (e.g., Alation, Collibra, Unity Catalog).
- Familiarity with AI/ML platforms and the data requirements for operationalizing advanced analytics.
- Strong leadership, project management, and communication skills.
- Experience in highly regulated or enterprise-scale environments.
- Knowledge of data privacy, compliance, and ethical considerations in data & AI.
- Certification in Snowflake, Tableau, or cloud data platforms is a plus.
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