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Data Architect

2 months ago

Delhi, India Recmatrix Consulting Full time
Job Title: Data ArchitectLocation: Bengaluru or RemoteRole: ContractDuration: 6 monthsNotice Period: Immediate onlyExperience: 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:AzureDatabricks SQL ServerlessDatabricks workspaces and notebooksDelta Lake ArchitectureLakehouse ConceptsSpark Structured/StreamingFile Formats (CSV, Avro, Parquet)CI/CD for ETLDatabricks SQL unified governance model (using Unity Catalog)