We are looking for an experienced Data Analytics Architect with solid expertise in Databricks and cloud-based data platforms. The ideal candidate will be responsible for designing, developing, and governing enterprise-scale data architectures to support business intelligence, analytics, and machine learning workloads.
Key Skills
Databricks, PySpark and Spark SQL
Delta Lake and Unity Catalog
Medallion Architecture (Bronze, Silver and Gold layers)
Azure / AWS / GCP cloud platforms
Git, CI/CD tools and DevOps practices
Apache Airflow / Azure Data Factory (ADF)
Power BI / Tableau
Key Responsibilities
Design and implement end-to-end Lakehouse and Medallion architectures using Databricks and Delta Lake.
Manage data governance, security, access control, and cataloguing using Unity Catalog.
Optimize Spark clusters, Delta Live Tables (DLT),
and Databricks SQL queries for better performance and cost efficiency.
Lead data engineering teams and establish CI/CD workflows and best practices.
Develop and maintain scalable data pipelines using PySpark and Spark SQL.
Translate business requirements into technical architecture and implementation plans.
Collaborate with engineering and business teams to deliver reliable and scalable analytics solutions.
Preferred Qualifications
Hands-on experience in designing enterprise-level data architectures.
Robust understanding of cloud data platforms and data engineering best practices.
Databricks Certified Data Engineer, Data Architect, or Solutions Architect certification is an added advantage.
Work Model: Hybrid – Bangalore. Pay: Up to ₹150,000.00 per month
Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka
📌 Data Analytics Architect Databricks Bengaluru
🏢 kPatricii IT Services
📍 Bengaluru
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