Data Architect

Overview

We are seeking an experienced

Data Architect

with over 12 years of expertise in data engineering, big data, and cloud data solutionsparticularly on

Microsoft Azure

. The ideal candidate will have a proven track record of delivering scalable data architectures, building enterprise data lakes, leading complex migrations, and architecting real-time and batch data pipelines. You'll be responsible for end-to-end architecturefrom data ingestion and transformation to governance, analytics, and performance optimization.

Key Responsibilities

• Architecture & Design
• Design scalable, high-performance, cloud-native data architectures using Azure Data Lake, Azure Synapse, and Databricks.
• Develop high-level and low-level architecture documents (HLD/LLD) for modern data platforms.
• Define data models using star and snowflake schemas, optimizing for analytics and query performance.
• Data Engineering & ETL
• Lead the development of ETL/ELT pipelines using Azure Data Factory, PySpark, Spark SQL, and Databricks.
• Manage ingestion of structured and semi-structured data from diverse sources to Azure-based data lakes and warehouses.
• Implement real-time data pipelines using Azure Event Hubs and Structured Streaming.
• Governance & Security
• Define and implement data governance frameworks including lineage, cataloging, access controls, and compliance (e.g., GDPR).
• Collaborate with MDM and governance teams using tools like Informatica AXON and EDC.
• Performance Tuning & Optimization
• Drive cost-efficient architecture design with partitioning, caching, indexing, and cluster optimization.
• Monitor and troubleshoot data pipelines using Azure Monitor, Log Analytics, and Databricks tools.
• Stakeholder Engagement
• Collaborate with data scientists, analysts, business stakeholders, and DevOps teams to deliver robust, scalable data platforms.
• Conduct design reviews and training sessions to support platform adoption and knowledge sharing.