Principal Data Architect

Principal Data Platform Architect

Key Responsibilities

• Platform Ownership & Architecture

• Own and evolve the architecture and operations of our Azure Fabric and Databricks platforms.
• Drive the design and implementation of

  medallion architecture

   (bronze, silver, gold layers) to ensure scalable and maintainable data processing frameworks.
• Champion and enforce

  data governance

  ,

  security protocols

  ,

  lineage

  , and

  access controls

   across the data estate.

• Data Engineering Leadership

• Lead the development and optimization of high-performance

  data pipelines

   and

  ETL/ELT processes

  using Spark in Databricks platform.
• Architect end-to-end data workflows to support real-time and batch processing needs across various business units.
• Maintain and enhance

  data catalogs

  , metadata management, and discoverability to ensure data democratization.

• BI & Analytics Enablement

• Collaborate with stakeholders to deliver reliable

  BI reports

   and self-service analytics tools that translate data into actionable insights.
• Align data delivery with business KPIs, analytics roadmaps, and operational reporting needs.

• Team Leadership & Collaboration

• Inspire and lead a team of data engineers, architects, and analysts with a strong focus on collaboration and innovation.
• Foster a

  team-first mindset

  , providing mentorship and clear career development paths.
• Collaborate cross-functionally with Product, Engineering, Security, and Business teams to deliver high-impact solutions.

• Communication & Influence

• Communicate complex technical topics to non-technical stakeholders with clarity and confidence.
• Proactively identify opportunities, risks, and areas for data-driven innovation.
• Present architectural proposals and platform evolution strategies to executive leadership.

Required Qualifications

• 10+ years of experience in enterprise data platforms, with proven leadership roles.
• Expert-level knowledge of

  Azure Fabric

  and

  Databricks (including Spark)

  .
• Strong experience implementing

  data governance frameworks

  ,

  RBAC policies

  ,

  encryption

  , and

  compliance (e.g., GDPR, HIPAA)

  .
• Proficient in

  building and scaling data pipelines

  ,

  Delta Lake

  ,

  Lakehouse patterns

  , and

  streaming/real-time data integration

  .
• Demonstrated experience in

  BI/reporting solutions

   (Power BI, Tableau, Looker, etc.).
• Deep understanding of

  data cataloging

  , metadata management, and data quality practices.
• Skilled in

  collaborative leadership

  ,

  people management

  , and

  mentorship

  .
• Excellent written and verbal communication skills; adept at interfacing with both technical and executive stakeholders.

Preferred

• Certifications in Azure or Databricks (e.g., Azure Solutions Architect, Databricks Certified Data Engineer).
• Proven track record in

  driving enterprise-scale data transformation initiatives

  .