Manager of IT Data Warehousing & Analytics

Avance Consulting

Gilbert, AZ, United States

3 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Artificial Intelligence Airflow Amazon Web Services Data Analysis Microsoft Azure Business Intelligence Development Cloud Database Information Systems Information Engineering Data Governance Data Infrastructure Data Integration

+18 more

Extract Transform Load (ETL) Data Warehousing Meta-Data Management Power BI Cloud Services Azure Machine Learning Tableau (Software) Google Cloud Feature Engineering Data Ingestion Snowflake AI Platforms Information Technology Collibra Data Management Tools for Reporting Looker Analytics Data Pipelines

Job description

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., * 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.

Requirements

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