JOB PURPOSE

Looking for an experienced Data & Cloud Architect to define and drive enterprise-scale data architecture leveraging Databricks Lakehouse, Snowflake, Apache Iceberg, and modern cloud-native technologies. The ideal candidate will lead architecture decisions, platform strategy, governance frameworks, and modernization initiatives.

JOB RESPONSIBILITY

Key Responsibilities

Enterprise Architecture

- Define enterprise data platform architecture and roadmap.

- Design scalable Lakehouse and Data Mesh architectures.

- Establish standards, patterns, and governance frameworks.

- Lead modernization and migration strategies.

Solution Architecture

- Architect solutions using Databricks, Snowflake, Iceberg, and Cloud services.

- Design multi-cloud and hybrid-cloud data ecosystems.

- Define data sharing and interoperability strategies.

- Enable AI/ML and GenAI workloads on up-to-date data platforms.

Data Platform Strategy

- Develop metadata, catalog, lineage, and governance solutions.

- Design enterprise-scale security and compliance frameworks.

- Establish platform observability and FinOps practices.

- Optimize storage and compute costs.

Architecture Governance

- Conduct architecture reviews and technical assessments.

- Define reference architectures and reusable frameworks.

- Drive NFRs including scalability, resiliency, security, and performance.

Leadership & Stakeholder Management

- Collaborate with business, product, security, and engineering leaders.

- Present architecture recommendations to executive stakeholders.

- Lead multiple delivery teams across strategic programs.

QUALIFICATION

- B.Tech degree/MTech/MCA with computer science background or equivalent experience.

EXPERIENCE

- 10+ years of total and minimum 3 years of relevant experience in Databricks.

- Proven experience architecting enterprise-scale Data Lakehouse and Data Platform solutions using Databricks and Snowflake.

- Deep expertise in Cloud Architecture (AWS/Azure/GCP), including security, governance, scalability, and resiliency frameworks.





- Extensive experience defining enterprise data strategies, modernization roadmaps, and migration approaches.

- Strong knowledge of Apache Iceberg, Delta Lake, metadata management, and Data Mesh architectures.

- Experience designing multi-cloud and hybrid-cloud data ecosystems supporting analytics, AI/ML, and GenAI workloads.

- Proven leadership in defining architecture standards, governance models, and reference architectures.

- Expertise in cost optimization, performance engineering, and cloud FinOps implementation.

- Experience influencing executive stakeholders and leading architecture reviews across multiple programs.

- Strong capability in mentoring architects, leads, and engineering teams.

- Excellent communication, presentation, and strategic decision-making skills.

SKILLS AND COMPETENCIES

- Expert knowledge of Databricks, including Lakehouse Architecture, Delta Lake, Unity Catalog, Workflows, and Performance Optimization.

- Strong proficiency in Python, PySpark, Spark SQL, and distributed data processing.

- Extensive hands-on experience with Snowflake, including Snowpipe, Streams, Tasks, Data Sharing, and Query Optimization.

- Robust expertise in Apache Iceberg, open table formats, schema evolution, partitioning, and time-travel capabilities.

- Experience designing and implementing large-scale Data Engineering and ETL/ELT Pipelines.

- Hands-on experience with AWS/Azure/GCP cloud-native data services.

- Strong SQL and data modeling skills across OLTP and analytical environments.

- Experience with Real-Time Data Processing using Kafka, Event Hubs, Kinesis, or Pub/Sub.

- Knowledge of Data Governance, Metadata Management, Data Quality, and Security frameworks.

Good to Have

- Experience with Terraform, CloudFormation, or Infrastructure as Code (IaC).

- Knowledge of Docker, Kubernetes, and containerized data platforms.

- Experience with CI/CD tools such as GitHub Actions, Jenkins, Azure DevOps, or GitLab.

- Exposure to AI/ML, MLOps, and GenAI data platform integration.

- Knowledge of Data Mesh, Data Fabric, and modern enterprise data architectures.

📌 Associate Architect - Databricks (Bengaluru)
🏢 Elevancehealth
📍 Bengaluru