Live opening · Posted 5 days ago
Azure Data Engineer
Antal International · Gurugram, Haryana, India (On-site)
You are 5 days behind. JobBeeper subscribers saw this role while it was still new.
At a glance
The key details from the original listing.
CompanyAntal International
LocationGurugram, Haryana, India (On-site)
Work modeNo
Source
Linkedin
Listed5 days ago
Your early-applicant advantage
Live timing from JobBeeper.
13 min
from Linkedin publishing this role to us finding it
11 min
median time from a role going live to a subscriber being told
6 hours
subscribers had this role before this page existed
68,210
roles found in the last 24 hours — the newest are not on this site yet
About the role
Description supplied by the original job listing.
Are you a visionary cloud data architect ready to shape the future of enterprise analytics? We’re seeking a passionate Lead Engineer – Azure Databricks to join our high-impact Business Analytics/BI team as a senior technical leader. This is a career-defining opportunity to architect scalable, secure, and high-performance cloud data platforms that power reporting, advanced analytics, and AI/ML innovation across the organization.
In this strategic role, you will own the end-to-end cloud data architecture strategy, drive our analytics modernization journey, and lead the migration of legacy Enterprise Data Warehouses to a modern Azure Databricks Lakehouse ecosystem. You’ll partner closely with IT leadership, business stakeholders, and analytics teams to deliver best-in-class, governed data solutions that accelerate insights and business value.
Exp: 9 to 14 years
Location: Gurugram
Shift: 2-11pm
Key Responsibilities
Design and govern enterprise-scale cloud data platforms (data lakes, Lakehouse, and cloud data warehouses) supporting BI/EDW, analytics, and AI/ML workloads
Architect and implement Databricks Lakehouse solutions using Delta Lake and Medallion (Bronze/Silver/Gold) patterns
Lead the full lifecycle of legacy EDW migration to Azure, including phased strategies, data refactoring, and seamless integration with enterprise systems
Establish architecture standards, best practices, CI/CD pipelines, and data governance frameworks (Unity Catalog, RBAC, encryption)
Provide day-to-day technical leadership, mentoring, and prioritization to a team of data engineers and vendor partners
Deliver high-performance batch and real-time ingestion pipelines using PySpark, SQL, Databricks Workflows, Delta Live Tables, and Structured Streamng
Optimize cost, performance, and reliability while enabling self-service analytics and trusted data products for BI teams
What You’ll Bring
9+ years designing and delivering enterprise data & analytics platforms, with proven hands-on expertise in Azure Databricks, Delta Lake, and Lakehouse architectures
Advanced proficiency in SQL, Python, PySpark, Spark SQL, and modern cloud data serices
Strong experience modernizing legacy EDW environments and building governed, scalable data platforms
Demonstrated leadership in architecture reviews, design discussions, and guiding cross-functional teams
Solid understanding of data governance, security, compliance, and quality frameworks
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
Experience with SAP ERP analytics integration (S/4HANA or ECC) is a strong asset; familiarity with Power BI/Tableau and Microsoft Fabric is a plus
Bonus: Exposure to AI/ML-ready data platforms or Agentic AI concepts
Work arrangement
No
More openings worth a look
Recently tracked roles with full details and direct application links.
Good roles move before most people even see them.
Tell JobBeeper what you want and get fresh matches delivered in minutes.
Start your free trial →