Resident Solution Architect
Workable locations: Hyderabad, Telangana, India. Chennai, Tamil Nadu, India. Bengaluru, Karnataka, IndiaFull-Time
Salary not disclosed
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Job Details
- Required Skills
- AWSGCPGitHadoopKafkaMicrosoft Power BISAPSnowflakeTableauAzureSparkRESTful APIsTerraformGitHub ActionsAzure DevOpsGenerative AIPySpark
Requirements
- Strong experience in Spark, PySpark, Delta Lake, Structured Streaming
- Expertise in ETL/ELT design and data pipeline optimization
- Hands-on expertise with Unity Catalog and Databricks workspace architecture
- Experience designing governance frameworks, security models, RBAC, and cluster policies
- Strong understanding of Medallion Architecture and Lakehouse concepts
- Experience with Databricks SQL and dimensional data modeling
- Strong fundamentals in AWS, Azure, or GCP
- Experience integrating with SAP systems and enterprise applications
- Knowledge of REST APIs, Kafka/Event Streaming, and Snowflake connectivity
- Experience in legacy DWH modernization and Hadoop migration projects
- Expertise in ETL migration, CDC patterns, and migration frameworks
- Experience with Git, Terraform, Databricks Asset Bundles
- Hands-on exposure to Azure DevOps and GitHub Actions
- Exposure to AI/ML, Generative AI, Agentic AI, Vector Databases, and RAG architectures
- Strong experience in solution architecture documentation and estimation models
- Excellent client communication and executive presentation skills
Responsibilities
- Design and implement enterprise-scale data and analytics platforms using Databricks Lakehouse architecture
- Lead end-to-end solution architecture for data engineering, cloud modernization, and AI initiatives
- Collaborate with business stakeholders, engineering teams, and leadership to define scalable and secure data solutions
- Drive data platform governance, security frameworks, and best practices across cloud environments
- Architect high-performance ETL/ELT pipelines and streaming data solutions
- Support migration from legacy data warehouses and Hadoop ecosystems to modern cloud lakehouse platforms
- Enable AI/ML and Generative AI use cases leveraging modern Databricks capabilities
- Provide technical leadership, estimation, architecture reviews, and client presentations
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