Data Architect

Overview

Databricks Architect

Email

Medallion Architecture & Lakehouse Design

• Design and implement

Medallion Architecture (Bronze, Silver, Gold layers)

Azure Databricks

• Define data flow standards across ingestion, cleansing, transformation, and consumption layers
• Ensure
• data quality, lineage, and governance
• across all layers
• Optimize storage and compute using
• Delta Lake features (ACID transactions, time travel, schema evolution)

Architecture & Strategy

• Architect
• end-to-end Azure data platforms
• using:
• Azure Databricks
• ADLS Gen2

• Azure Data Factory

• Azure Synapse
• Define
• data platform standards, best practices, and reusable frameworks
• Lead
• data modernization initiatives
• (on-prem to cloud, legacy to lakehouse)

Data Engineering Leadership

• Build scalable pipelines using
• PySpark, Spark SQL, and Databricks workflows
• Implement
• batch + real-time ingestion patterns
• Drive
• performance tuning and cost optimization
• Mentor teams on
• Spark optimization, partitioning, and job orchestration

Data Modelling

• Design
• enterprise-grade data models
• :
• Dimensional (Star/Snowflake)
• Normalized and Data Vault (nice to have)
• Align data models with
• Gold layer consumption use-cases (BI/Reporting)
• Translate business needs into
• scalable analytical datasets

Integration & Consumption

• Build ingestion pipelines using:
• **ADF, Event Hub, Kafka, APIs**
• Enable reporting via:
• **Power BI, Tableau, or similar BI tools**
• Ensure seamless consumption from
• Gold datasets

Stakeholder Engagement

• Act as a
• data architecture SME
• in client discussions
• Drive solutioning, architecture reviews, and governance forums
• Collaborate with business teams for
• data-driven decision making

Core

• Strong hands-on experience with

Azure Databricks & Delta Lake

• Proven expertise in
• Medallion Architecture implementation
• Advanced

Pyspark And Spark Sql

• Experience with

Data Modelling

• Strong experience in:
• **Dimensional modelling (must-have)**
• Data modelling aligned to
• Gold layer analytics
• Understanding of
• data quality and governance frameworks

Nice-To-Have

• Real-time processing (

Kafka And Spark Streaming

• )
• Azure Purview or data governance tools
• ML pipelines on Databricks

Leadership Skills

• Strong architectural thinking
• Client-facing experience
• Ability to lead and scale engineering teams
• Excellent communication and stakeholder management
• We are an Equal Opportunity Employer committed to fostering a diverse, inclusive, and respectful workplace.
• All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
• We believe diversity drives innovation and success, and we welcome individuals from all backgrounds to join our team.