Data Architect – Azure Data & Analytics (Data Factory, Synapse, Databricks)

prAna • Carlsbad, CA

5d

About The Position

We’re looking for a Data Architect to design and implement prAna’s modern data and analytics platform. This role will define the architecture, data models, and governance standards that enable scalable, trusted insights across the business. You’ll partner closely with stakeholders to translate business requirements into robust data solutions that power decision-making.

Requirements

• 7+ years in data architecture, data engineering, or BI roles; 2+ years in an architect or lead capacity.
• Expertise in data modeling (conceptual, logical, physical) and dimensional design for analytics.
• Hands-on experience with Microsoft Azure Data & Analytics services (Data Factory, Databricks, Synapse, Data Lake).
• Strong SQL and experience with ETL/ELT frameworks.
• Familiarity with Power BI semantic modeling and governance.
• strategic thinker who can bridge business needs and technical design.
• Collaborative and skilled at influencing cross-functional teams.
• Detail-oriented with a passion for data integrity and architecture best practices.
• Comfortable leading technical discussions and mentoring others.

Nice To Haves

• Exposure to ERP analytics (SAP) or similar enterprise systems.

Responsibilities

• Design and implement enterprise data architecture leveraging Microsoft Azure Data & Analytics services and Databricks for scalable ingestion, transformation, and storage.
• Develop logical and physical data models that align with business processes, ensuring clarity, consistency, and performance across analytics and reporting layers.
• Partner with business teams to gather requirements and translate them into data architecture blueprints, semantic models, and KPI frameworks.
• Establish standards for data governance, security, and quality, including lineage and metadata management.
• Build and optimize data pipelines and orchestration workflows using Azure Data Factory, Databricks, and related tools.
• Enable self-service analytics by designing certified datasets and semantic layers for Power BI.
• Continuously evaluate emerging technologies and recommend improvements to enhance scalability and reliability.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees