{bc}
linkedin

Architect

Cognizant
Riyadh, KSA
Full Time
Senior
2 weeks ago
Azure Data FactoryAzure DatabricksPySparkSQLDelta LakeAzure Synapse Analytics
Free

Job Fit Check

Base Career helps you apply smarter for this job.

?%
Ready to Scan

Key skills for this role

Azure Data FactoryAzure DatabricksPySpark
Smart Apply

Full Job Posting

Role Overview

  • Design, develop, and optimize scalable, enterprise grade cloud native data platforms and pipelines on Microsoft Azure.
  • Implement modern data architectures such as Lakehouse and Medallion architecture.
  • Collaborate with architects, analysts, and downstream data consumers to translate business requirements into data solutions.

Key Responsibilities

  • Design, build, and maintain complex ETL/ELT pipelines using Azure Data Factory.
  • Implement parameter driven dynamic pipelines, custom activities, and scheduling triggers.
  • Configure and manage Integration Runtimes for secure on premise to cloud data movement.
  • Develop batch and real time streaming pipelines using Azure Databricks, PySpark, Spark SQL, or Scala.
  • Implement Medallion Architecture and maintain Lakehouse architectures with Delta Lake.
  • Optimize Spark compute usage through parameter driven jobs and cluster scaling.
  • Perform deep performance tuning and memory management of Spark workloads.
  • Design and refine data models including dimensional modeling, star schemas, and SCDs.
  • Optimize databases with complex T SQL queries, stored procedures, and schemas on Azure SQL or Synapse.
  • Enforce data governance, lineage, and access controls using Unity Catalog.
  • Secure data architectures with Azure Key Vault, Managed Identities, and VNET integration.
  • Implement CI/CD pipelines using Git and Azure DevOps.

Required Skills & Qualifications

  • Minimum 8+ years of professional experience in Data Engineering or Data Warehousing.
  • 4+ years of hands on experience designing and operating modern data platforms on Microsoft Azure.
  • Proficient in Python/PySpark, SQL, and optionally Scala.
  • Extensive knowledge of Azure Data Factory, ADLS Gen2, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics.
  • Robust understanding of Apache Spark architecture, distributed computing, and Hadoop ecosystem.
  • Strong background in CDC mechanisms, API integrations, and event driven data streaming.
  • Excellent analytical capabilities, documentation skills, and ability to articulate technical strategies.

Preferred Qualifications

  • Microsoft Certified: Azure Data Engineer Associate (DP 203), Azure Solutions Architect Expert, or Databricks Certified.
  • Exposure to multi cloud environments (GCP or AWS).
  • Experience with Infrastructure as Code tools like Terraform or ARM Templates.

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Cognizant