Databricks Data Architect

Role Summary

We are seeking a Senior Data Architect to lead the design, governance, and evolution of our enterprise data ecosystem with a primary focus on Databricks . This role establishes data architecture standards, drives platform modernization, and partners with business and engineering teams to deliver scalable, secure, and high‑quality data solutions. Experience with other modern data platforms is a plus.

Key Responsibilities

Enterprise Architecture & Data Platform Leadership

• Design and maintain enterprise data architecture across Lakehouse, Warehouse, and streaming environments.
• Proven experience designing and implementing modern data platforms in cloud environments (AWS, Azure, GCP).
• Extensive experience in designing and maintaining Medallion architecture (Bronze/Silver/Gold)
• Lead solution design and best practices for Databricks, including Delta Lake, Unity Catalog, and medallion architecture.
• Define ingestion, integration, and pipeline standards for batch, streaming, and CDC workloads.
• Evaluate emerging technologies and contribute to long‑term data platform strategy.

Data Modeling & Semantic Layer Development

• Develop and maintain subject area models, business data models, and dimensional models (fact and dimension tables) and Semantic layer design for BI and AI solutions.
• Define and document entities, attributes, and business definitions; resolve conflicts in terminology and meaning.
• Build and maintain enterprise semantic layers to support analytics, BI, and AI use cases.
• Support standardization of facts, dimensions, and shared business metrics.
• Demonstrated ability to design scalable, cost‑optimized, and reliable data architectures in cloud environments.

Data Governance, Quality & Metadata

• Ensure strong data governance, security, lineage, and compliance across platforms.
• Perform data quality assessments and identify appropriate data sources in partnership with Business/Data Analysts.
• Maintain metadata in the enterprise repository and ensure alignment with governance standards.
• Assist in developing source‑to‑target mappings and validating data transformations.

Collaboration & Technical Leadership

• Conduct user interviews, requirements sessions, and data analysis reviews.
• Provide architectural oversight and review solution designs across engineering teams.
• Mentor engineers and analysts to ensure consistent adoption of architectural standards.
• Partner with cross‑functional teams to align data solutions with business needs.

Required Qualifications

• 10+ years of experience in data architecture or data engineering.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Hands‑on expertise with Databricks; building and maintaining medallion architecture.
• Strong background in data modeling: dimensional, 3NF, and data vault.
• Proficiency with Spark, SQL, Python, Kafka, Five Tran, APIs, and modern data pipeline frameworks.Knowledge of BI/Analytics/AI tools i.e., Power BI, ML Flow, Sage maker, Etc.
• Deep understanding of data governance, security, lineage, and metadata management.
• Proven ability to collaborate across engineering, BI, product, and business teams while influencing technical direction.
• Ability to lead architectural reviews and mentor engineering teams.
• Excellent communication skills with the ability to simplify complex concepts for diverse audiences.Ability to influence technical, business, and executive audiences.