Resident Solutions Architect (Databricks, Apache Spark, Data Engineering)
Job Description
Key Skills Required
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The ideal candidate combines strong hands-on technical expertise with excellent customer-facing, consulting, and communication skills.
Key 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 proof-of-concepts (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 cloud platforms such as AWS, Azure, or GCP.
- Troubleshoot performance, scalability, reliability, and data pipeline issues.
- Collaborate 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.
Required Skills
Must Have
- 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
Good to Have
- Delta Lake
- Unity Catalog
- MLflow
- Kafka
- Streaming
- Data migration
- MLOps
- Machine Learning
- GenAI
- Data governance
- Terraform / CI/CD
- Snowflake
- Hadoop ecosystem
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