Job Summary
Experience:
6.00 - 12.00 Years
Industrial Type:
IT-Software/Software Services
Location:
Chennai
Functional Area:
IT Software - DBA / Datawarehousing
Designation:
Databricks Lead / Architect
Key Skills:
Databricks,architect
Educational Level:
Graduate/Bachelors
Job Post Date:
2025-12-11 12:11:54
Stream of Study:
Degree:
BCA, BE-Comp/IT, BE-Other, BSc-Comp/IT, BSc-Other, BTech-Comp/IT, BTech-Other
Company Description
We’re more than simply paper, ink, and toner. We provide the supplies and services that thousands of businesses around the world need to succeed. We’re the experts in technology and conferencing equipment, cleaning products, furniture, and even breakroom items like snacks and coffee, too. (After all, innovation requires plenty of fuel!) This is a company of more than 13,000 smart, insightful experts who believe in the power of what can be and are driven to make business easier for our customers.
Job Description
• Bachelor`s degree in Computer Science, Engineering, or a related quantitative field.
• 5+ years of experience in data architecture, data engineering, or a related field, with significant experience specifically on the Databricks platform.
• Deep expertise in Databricks architecture, including clusters, notebooks, jobs, Delta Lake, and Unity Catalog.
• Hands-on experience with Databricks implementation on Azure.
• Proficiency in Apache Spark, including Spark SQL, Spark Streaming, and MLlib.
• Strong programming skills in Python and SQL.
• Extensive hands-on experience with at least one major cloud platform (Azure, AWS, or Google Cloud Platform), including its core services for storage (ADLS, S3, GCS), networking (VPCs, VNETs), identity and access management, and data security.
• Proven experience in designing and implementing data lakehouses, ETL/ELT workflows, AI/ML workflows and data modeling.
• Demonstrated experience with Machine Learning Operations (MLOps) principles and tools, including model versioning, experiment tracking (e.g., MLFlow), model deployment strategies (e.g., REST APIs, batch inference), and model monitoring.
• Experience with CI/CD practices and Infrastructure as Code (e.g., Terraform, Azure DevOps, Jenkins).
• Solid understanding of data security principles. Expertise in implementing Row Level Security, Column Masking, Data encryption, and decryption solutions in Databricks.
• Excellent communication, interpersonal, and leadership skills with the ability to articulate complex technical concepts to diverse audiences.
• Proven experience with Snowflake, DBT.
