> Markdown version of [/jobs/ext/3109613-sr-data-architect-with-databricks](https://www.wearedevelopers.com/jobs/ext/3109613-sr-data-architect-with-databricks). 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). --- # Sr. Data Architect with Databricks - **Company:** Coforge Limited - **Location:** Chelsea, MA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Airflow, Big Data, Cloud Engineering, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Database Queries, Python (Programming Language), Meta-Data Management, Power BI, Azure Data Factory, Pyspark, Information Technology, Databricks - **Published:** September 27, 2026 - **Apply:** https://www.disabledperson.com/jobs/75516662-sr-data-architect-with-databricks ## About the Role * Bachelor's degree in computer science or relevant field from an accredited college or university, required. * 3-5- years of experience in data architecture, data engineering, required. * Strong data modeling expertise (conceptual, logical, physical). * Hands-on experience designing enterprise data architectures. * Advanced ELT/ETL development experience (preferably cloud-native). * Should have strong experience in python, pyspark and Databricks. * Proficiency in Python for data engineering and automation. * Strong SQL skills and experience with large-scale data processing. * Experience with data quality frameworks, metadata management, and lineage. * Understanding of modern data patterns (CDC, event-driven ingestion, APIs, streaming, orchestration). * Experience in the insurance industry, preferred. * Familiarity with tools such as DBT, Airflow, Azure Data Factory, or similar. * Knowledge of MDM, canonical modeling, and governance frameworks. * Experience with Power BI or other BI tools. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [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) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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) - [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)