Data Architect
Abhay SinghRemoteSENIORPosted 14d ago
SQLPythonPySparkdata modelingDatabricksDelta LakeSnowflakeKafkaSpark Structured StreamingAWS (S3, Glue, Redshift, Kinesis, EKS, Lambda)AirflowTerraformGit-based CI/CDAzure data servicesdbtdata quality frameworks (Great Expectations or equivalent)catalog and lineage platforms (Unity Catalog, Collibra, Alation, Purview)MDM toolingBI semantic layers (Power BI, Tableau, Looker)DockerKubernetesFastAPIobservability tooling (Grafana, CloudWatch)MLflowfeature storesvector databases (OpenSearch, Pinecone, FAISS, ChromaDB)knowledge graphs (Neo4j)LLM APIs and RAG frameworks (LangChain, LlamaIndex, AWS Bedrock, Claude, OpenAI)
About the Role
We are seeking a Data Architect to design and implement enterprise-scale data platforms. This role requires extensive experience in data engineering and architecture, with a focus on lakehouse and data mesh platforms.
Key Responsibilities
• Architect and implement enterprise-scale data platforms using lakehouse and data mesh approaches
• Design and optimize data models including dimensional, normalized, and Data Vault patterns
• Lead data governance, quality, and security initiatives
• Migrate legacy systems to cloud-native platforms
• Collaborate with AI teams on data requirements for ML systems
Requirements
• 15+ years of hands-on data engineering and architecture experience
• Expertise in data modeling techniques and patterns
• Proven experience with Databricks, Delta Lake, Snowflake, Kafka, and cloud platforms
• Strong SQL skills and performance engineering capabilities
• Experience with data governance, quality, and security in regulated industries
• BS/MS in Computer Science, Data Engineering, or related field
• Prior experience at financial institutions or large SaaS companies
• Experience with presales solutioning for data programs
• Relevant certifications (Databricks, AWS, Snowflake)