Overview
On Site
$60 - $70
Contract - Independent
Contract - W2
Skills
Amazon Web Services
Artificial Intelligence
Data Warehouse
Data Integration
Data Governance
Data Engineering
ELT
Microsoft Power BI
Microsoft Azure
Machine Learning (ML)
Project Management
Regulatory Compliance
Tableau
Snow Flake Schema
Scalability
Management
Data Warehouse Architecture
Cloud Computing
Job Details
Title: Engineering Manager-Data Analytics
Location: Gilbert, AZ (Hybrid)
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 Google Cloud Platform).
- 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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