> Markdown version of [/jobs/ext/2043704-bi-data-architect](https://www.wearedevelopers.com/jobs/ext/2043704-bi-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # BI/Data Architect - **Company:** Siri InfoSolutions Inc - **Location:** Marlborough, MA, United States - **Experience:** Expert - **Salary:** $120,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, BigQuery, Cloud Computing, Data Architecture, Data Infrastructure, Extract Transform Load (ETL), Data Mining, Data Warehousing, Data Flow Control, Cloudera, Data Ingestion, System Availability, Snowflake, Data Management, Data Lakehouse, Data Pipelines - **Published:** August 13, 2026 - **Apply:** https://www.careerjet.com/jobad/us73e3558ee24373580697d400a9253979 ## About the Role * 8-10 years of in-depth, hands-on knowledge and execution of foundational data architectures such as data warehouses, data modeling, data mining, ETL, and in-memory models. * Proficient knowledge in modern data architecture supports advanced analytics including GCP Dataproc, dataflow, Cloud Function, BigQuery, Composer, GKE, IA, Snowflake, Azure, etc. * Good understanding of Data Lakehouse setup, Snowflake * Knowledge in Marketing tech stack * Architecting, Designing, developing, and testing of data ingestion pipelines, perform end to end automation of ETL process for various datasets that are being ingested into the big data platform. ## Description * Define strategy for Lakehouse architecture * Foundational data analysis activities for Data Platform and data ingestion patterns * Architect will more closely with various TJX teams and primarily looks after below scope * Lakehouse and other foundational data activities. * Analyze and assess current landscape of various TJX data platforms and tools used * Define strategy for Lakehouse architecture, data ingestion patterns considering a lake house sets, which would be the foundation for more advanced analytics, including AI and machine learning functionalities * Assist in defining single unified version of data from multiple sources * Define strategy for advance analytics leveraging real time streaming, data availability at single place and assist in accelerated innovation and near real time analytics * Collaborate with cross-functional teams to understand Lakehouse needs and deliver solutions patterns ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)