Data Architect

4 weeks ago


India Recmatrix Consulting Full time

Job Title: Data Architect

Location: Bengaluru or Remote

Role: Contract

Duration: 6 months

Notice Period: Immediate only

Experience: 10–15 years


Role Overview:


As an Azure Data Architect, you will be responsible for developing, designing, and automating large-scale, high-performance data processing systems on Azure that drive business growth and enhance product experiences. You will lead data engineering projects, contribute to data infrastructure, and collaborate with cross-functional teams to ensure reliable and efficient data pipelines.


Key Responsibilities:

  • Develop, design, and automate large-scale batch and streaming data processing systems on Azure.
  • Evangelize high-quality software engineering practices for building scalable data infrastructure and pipelines.
  • Lead data engineering projects to ensure pipelines are reliable, efficient, testable, and maintainable.
  • Design optimal data models for storage and retrieval to meet critical business and product requirements.
  • Influence and architect logging best practices to support data flow and enhance infrastructure.
  • Contribute to shared data engineering tooling and standards to improve productivity across the company.
  • Collaborate with leadership, engineers, program managers, and data scientists to understand and address data needs.
  • Educate stakeholders on data engineering practices, identifying and addressing gaps in logging and processes.
  • Build and maintain data lineage, governance, and cataloging systems.
  • Lead projects using agile methodologies and ensure effective communication at all levels.
  • Recruit, retain, and develop team members for future responsibilities and challenges.


Experience & Skills Required:


  • 10+ years of relevant industry experience in data architecture and engineering.
  • Expertise in custom ETL design, implementation, and maintenance.
  • Proven experience in designing data models for reporting systems.
  • Hands-on experience with Azure Databricks, including SQL workloads.
  • Proficiency in data ingestion techniques using file formats like CSV, TXT, and JSON.
  • Experience setting up observability for data pipelines and Databricks in Azure.
  • Strong knowledge of relational databases and SQL query authoring.
  • Familiarity with Java, Scala, Spark, PySpark, Python, and Databricks technologies.
  • Cloud experience, with a preference for Azure.
  • Proven ability to work with large-scale data and design robust, high-performance data pipelines.
  • Experience with CI/CD for ETL processes and deploying data pipelines with reliable monitoring and logging practices.
  • Ability to work across team boundaries and provide overarching data architecture guidance.
  • Expertise in minimizing data transfer and storage costs and optimizing ETL pipelines.
  • Experience with Databricks SQL unified governance model (using Unity Catalog) across clouds, open formats, and APIs.


Technical Stack:

  • Azure
  • Databricks SQL Serverless
  • Databricks workspaces and notebooks
  • Delta Lake Architecture
  • Lakehouse Concepts
  • Spark Structured/Streaming
  • File Formats (CSV, Avro, Parquet)
  • CI/CD for ETL
  • Databricks SQL unified governance model (using Unity Catalog)



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