Senior Databricks Solution Architect

Client: TCS | Engagement: Full-time | Work mode: ONSITE | Experience: 8-10 | Publisher job id: JOB-000507

Role Overview

As a Senior Databricks Solution Architect, you will lead the design of enterprise-scale data solutions, establish engineering standards and best practices, and optimize platform performance and cost. This role involves providing technical leadership for cloud modernization, real-time analytics, AI/ML enablement, and data governance initiatives, with a focus on implementing and adopting the Databricks Lakehouse Platform across multiple business segments.

Key Responsibilities:

Applies advanced expertise in Databricks, Spark, Delta Lake, and cloud-native architectures to design and govern large-scale enterprise data platforms.

Leads architecture decisions for cloud-based data and analytics solutions, ensuring scalability, security, resiliency, and operational excellence across Azure, AWS, or GCP environments.

Establishes and evolves platform standards, best practices, and governance frameworks for data engineering, streaming, AI/ML, and analytics workloads.

Recommends innovative technologies, architectural patterns, and optimization strategies to

Required Skills:

Databricks (Python and SQLPySpark)

Azure SQL Server (Managed Instance)

Azure SQL DB

SQL Server VMs

Data modeling and ETLELT design patterns

Docker and Azure Kubernetes Service (AKS) for select automation

Performance optimization and scalability

7 years enterprise data engineering experience

Experience with large-scale data harmonization and normalization

Qualifications

• 8-10 years of overall experience

• 7 years enterprise data engineering experience

• Healthcare data integration experience strongly preferred

• Preferred Skills:

• Python

• Azure Data Factory