Data Architect (AWS, Azure, GCP)
Core
Design and implement strategic data architectures and delivery solutions for clients, bridging current state to future state while ensuring data quality and integration.
Role type
Senior IC Data Architect (Cloud & Data Engineering)
Builds
End-to-end data architectures, data integration pipelines, and modern data warehouse solutions for client organizations.
Domain
Cloud data management, data engineering, and enterprise analytics.
Required skills
Cloud data architecture (AWS, Azure, GCP), SQL, Python, NoSQL databases, real-time data distribution, data warehousing, data governance, strategic planning, technical consulting.
Preferred skills
Thought leadership in emerging data trends, mentoring staff, business development collaboration.
Technologies
AWS, Azure, GCP, Kafka, Kinesis, DataFlow, Airflow, MongoDB, DynamoDB, HBase, CosmosDB, Snowflake, DataBricks, SQL, Python.
Responsibilities
Assess and advocate data management technologies to eliminate gaps between current and future states; interpret and deliver strategic plans for data integration and quality; formulate architectural trade-offs to recommend optimal solutions; collaborate with stakeholders to maximize data value; drive innovative technology solutions through thought leadership; partner with business development to estimate work plans and demonstrate technical capabilities.
Seniority
Senior, hands-on IC with strategic planning and mentorship responsibilities.