Data Domain Architect

2 weeks ago


Bengaluru, Karnataka, India JPMorgan Chase Full time ₹ 7,50,000 - ₹ 12,00,000 per year

You are a strategic thinker passionate about driving solutions in Analytics. You have found the right team.

As a Data Domain Architect - Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. 

Job Responsibilities


•    Design and implement comprehensive and efficient data mart schemas that consolidate key data categories from various source systems, tailored to the needs of the  Marketing Finance & Business Management functions.    

•    Collaborate with Business stakeholders to understand requirement and accordingly map source & calculation logic 

•    Collaborate with cross-functional teams, including data engineers, data analysts, and technical specialists, to gather and analyze business requirements. 

•    Develop, implement, and optimize data workflows, Extract Transform Load (ETL) processes, and data pipelines using Databricks.

•    Utilizing Databricks and ThoughtSpot tools, create a robust and efficient reporting environment for PXT Finance data analytics and reporting.

•    Work closely with your business domain Product teams and business stakeholders to: 1) design and develop insightful reporting and analytics solutions that drive informed decision-making; 2) apply design led thinking to meet their needs, including making data discoverable and accessible for analytical needs.

•    Maintain up-to-date documentation on data mart architecture, data models, ETL processes, and data governance policies.  

Required qualifications, capabilities and skills


•    Overall 8+ years of experience in  Data Management, data Engineering, data lineage, data dictionaries, and making data discoverable

•    Strong knowledge and experience with data Engineering, data lineage, data dictionaries, and making data discoverable

•    Good Knowledge of data architecture, data warehousing, and data integration, with a focus on the retail banking or financial services industry. 

•    Expertise in designing and implementing scalable and efficient data mart architectures, including star schema, snowflake schema, and other data modeling techniques.

•    Bachelor's degree in Computer Science, Information System, or related discipline

•    Experience with Python, Databricks, Snowflake, or other Cloud Data Warehouse,  Data Engineering, Data Modeling, ERWIN

•    Proven track record of successfully managing and delivering complex data projects in a fast-paced, dynamic environment.

•    ThoughtSpot, Tableau, Alteryx, or Essbase experience



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