5 Data warehouse architect jobs

Sr.  Data warehouse healthplan Engineer remote The Sr. Data Engineer is responsible for expanding, re-engineering and maintaining Data Warehouse environment including its overall architecture, pipelines, and data from internal and external sources. This role supports the delivery of analytics solutions and involves building and optimizing analytics data ecosystems from the ground up. The Sr. Data Engineer will enhance ETL processes through development, setting standards and oversight. They will lead a team of analytics developers, data analysts, and data scientists on various data initiatives, the engineer will ensure optimal and consistent delivery of data architecture across all projects. This role demands a self-directed individual comfortable with Data Warehousing, ETL, and analytics technologies. The Sr. Data Engineer will contribute to the optimization or redesign of the company’s analytics data management ecosystem, supporting current and future products and...

Data Modeler Remote, Oregon Contract Role Summary The Data Modeler will design and implement data models to support the development of curated, reusable, and governed data products. This role will focus on creating source and target state models, ensuring data quality, and enabling efficient data consumption. Key Responsibilities Data Modeling: Design conceptual, logical, and physical data models for data products. Data Analysis: Profile and document key metrics of existing data products, including lineage, quality, and reuse potential. Collaboration: Work with stakeholders to define business rules, KPIs, and consumption requirements. Documentation: Create data dictionaries, ER diagrams, and metadata documentation. Governance: Define and implement data governance principles for certified reusable data products. Required Skills Data Modeling Tools: Proficiency in tools like ER/Studio, Erwin, or similar. Database Expertise: Strong knowledge of...

Senior Engineer  Rockville, MD  Azure Data Lake Gen1/Gen2, Azure Data factory , Azure Data bricks, Azure DWH, Azure Synapse, Key vault, Azure Active directory., Scala, SQL , Python  Experience level: Mid-senior Experience required: 10 Years Education level: Bachelor’s degree Job function: Information Technology Industry: Information Technology and Services Pay rate : View hourly payrate Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Locations : Trevose, Pennsylvania or Rockville, Maryland Job Description :  Azure Data Lake Gen1/Gen2, Azure Data factory , Azure Data bricks, Azure DWH, Azure Synapse, Key vault, Azure Active directory. Data brick services (like processing streaming data using Spark clusters), usage of Blob containers, ESB, Event Grid, Azure SQL server, Cosmos DB, Azure functions, Analytics (like Power BI) is a mandatory requirement.  Experience level: Mid-senior Experience required: 10 Years...

Product Architect  Snowflake cloud data warehouse Dublin, OH Snowflake cloud data warehouse., Data modelling, ELT using snowflake, implementing complex stored Procedures and standard DWH and ETL concepts.    Experience level: Mid-senior Experience required: 10 Years Education level: Bachelor’s degree Job function: Information Technology Industry: Information Technology and Services Pay rate : View hourly payrate Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No  Must have experience at least two end to end implementation of Snowflake cloud data warehouse. Job Description • Expertise in Data modelling, ELT using snowflake, implementing complex stored Procedures and standard DWH and ETL concepts. • Experience in Data Migration from RDBMS to cloud data warehouse • Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance...

Staff Data Warehouse Engineer San Jose, California, United States   Make your impact within a rapidly growing Fintech Company The Data Operations team builds capabilities and practices that support the usage of data across BILL. The team supports stakeholders across the company to understand their needs, collect applicable requirements, develop solutions, solicit feedback, deploy to the data ecosystem, and showcase the result. Engineers on the Data Operations team bring a sense of pragmatic perfectionism, doing their best work every day and delivering quality data products to those whom they support. Architect and maintain a scalable CDP aligned with GTM and sales objectives Design and implement robust ETL/ELT pipelines for efficient data processing, as necessary Integrate the CDP with CRM and marketing automation tools Ensure data quality, security, and governance across the platform Collaborate cross-functionally to translate business requirements into technical...