Resident Solution Architect
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Job Description
Resident Solutions Architect designing Databricks, Spark, and cloud data architectures for enterprise clients in India. Leading technical engagements, POCs, migrations, and production deployments.
Responsibilities:
- Work directly with enterprise customers as a trusted technical advisor
- Understand customer business and technical requirements and translate them into scalable data architectures
- Design and implement modern Lakehouse / Data + AI architectures using Databricks
- Develop and guide POCs, technical workshops, and architecture demonstrations
- Work extensively with Apache Spark / PySpark, SQL, and Databricks
- Design scalable data ingestion, transformation, and processing pipelines
- Work with Delta Lake, Unity Catalog, and Databricks platform capabilities
- Support data migration and modernization initiatives
- Integrate Databricks with AWS, Azure, or GCP
- Troubleshoot performance, scalability, reliability, and data pipeline issues
- Work with customer engineering, data science, architecture, and leadership teams
- Provide technical recommendations around data engineering, analytics, ML/AI, and cloud architecture
- Create reference architectures, technical documentation, and implementation guidance
- Support production deployment and adoption of Databricks solutions
- Conduct technical workshops, enablement sessions, and knowledge-sharing activities
Requirements:
- Minimum 9+ years of experience
- Strong experience with Databricks
- Strong Apache Spark / PySpark
- Strong SQL
- Strong Data Engineering fundamentals
- Experience designing data pipelines / data platforms
- Experience with Lakehouse / Data Warehouse / Big Data architecture
- Experience with at least one cloud: AWS, Azure, or GCP
- Strong customer-facing / consulting experience
- Architecture/design experience
- Excellent communication and presentation skills
- Delta Lake, Unity Catalog, MLflow, Kafka, Streaming, Data migration, MLOps, Machine Learning, GenAI, Data governance, Terraform / CI/CD, Snowflake, and Hadoop ecosystem are good-to-have skills
- Must-have skills: Data Engineering, Python, Solution Architecture
- Good-to-have skills: SQL, Azure, Databricks
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