As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform or similar.
Core Skills & Technologies
- Overall work experience of 3-5 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy
- 3+ years of experience in Cloud database technologies.
- Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table
- Snowflake, Azure, Data Lake, Databricks, ETL, and MDM
Who You Are
- 10+ or more years of experience in Information Technology.
- Proficiency in the design of batch and streaming data ingestion
- Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs
- Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data
- Experience with SOA data layer utilizing data access frameworks and exposing data via web services
- Experience with Business Intelligence and data mart architecture
- Experience creating a data architecture vision between lines of business and IT
- Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance.