Azure Data Architect (Senior) with skills Data Engineering, Scala, Databricks, SQL, Azure Data Factory, Python, Delta Lake for location Gurugram, India
ROLES & RESPONSIBILITIES
Key Responsibilities
Design and architect end-to-end data platforms on cloud (Azure/AWS/GCP) with Databricks as the core analytics engine.
Define data architecture standards, best practices, and reference architectures.
Lead the design and implementation of data ingestion, transformation, and serving layers using modern data engineering frameworks.
Architect Lakehouse solutions leveraging Delta Lake, Unity Catalog, and medallion architecture.
Ensure data security, governance, performance optimization, and cost efficiency across platforms.
Collaborate with business, analytics, AI/ML, and engineering teams to translate business needs into scalable data solutions.
Guide and mentor data engineers and developers on architecture, design patterns, and best practices.
Drive cloud-native design principles including CI/CD, Infrastructure as Code, and automated testing.
Participate in solution reviews, POCs, and technology evaluations.
Required Skills & Qualifications
10+ years of experience in data engineering, with at least 4–5 years in an architecture or lead role.
Strong hands-on experience with Databricks (must-have), including Delta Lake, Spark, Unity Catalog, and workflows.
Deep experience with at least one major cloud platform: Azure, AWS, or GCP.
Expertise in designing scalable data pipelines using Spark, Python, SQL, and/or Scala.
Strong experience with cloud-native data services such as:
Azure: ADLS, ADF, Synapse
AWS: S3, Glue, EMR, Redshift
GCP: BigQuery, GCS, Dataflow
Experience with data modeling, data warehousing, and Lakehouse architectures.
Strong understanding of data governance, security, compliance, and data quality frameworks.
Experience with real-time and batch data processing architectures.
Hands-on experience with DevOps/MLOps practices, CI/CD pipelines, and IaC tools (Terraform, ARM, CloudFormation).
Excellent communication and stakeholder management skills.
EXPERIENCE
- 14-16 Years
SKILLS
- Primary Skill: Data Engineering
- Sub Skill(s): Data Engineering
- Additional Skill(s): Scala, Databricks, SQL, Azure Data Factory, Python, Delta Lake
ABOUT THE COMPANY
Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.