
at J.P. Morgan
Bulge Bracket Investment BanksPosted 8 days ago
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**Data Domain Architect - Associate (Bengaluru, India)** drives data-centric strategies in Finance, Data Engineering, and Business. Key responsibilities include transforming data ingestion, modeling, and integration, prioritizing backlogs with agile tech teams, partnering with stakeholders for tailored solutions, maintaining robust data pipelines, streamlining processes, and innovating with emerging data technologies. Proven expertise (5+ years) in FP&A, data analytics, with a degree in Engineering/Finance and proficiency in Databricks/AWS, SQL, Python/R. Requires strong analytical, problem-solving, communication, and transformation skills.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
Location: Bengaluru, Karnataka, India
You are a strategic thinker passionate about driving solutions in Data Domain. You have found the right team.
As a Data Domain Architect - Associate within our FP&A organization, you work at the intersection of finance, data engineering, and business strategy to enable better decision-making.
Job Responsibilities
- Data Transformation: Drive ingestion, modeling, and integration of data into a data lake ecosystem.
- Agile Delivery & Collaboration: Partner with tech teams and agility lead to prioritize backlog and deliver data products using agile methods.
- Business Partnering: Translate stakeholder needs into scalable data solutions and reporting frameworks.
- Data Engineering & Quality: Build and maintain robust data pipelines ensuring quality, consistency, and availability.
- Automation & Optimization: Identify opportunities to streamline processes and reduce manual effort.
Innovation: Stay current with emerging technologies (cloud, data engineering, analytics) and recommend improvements.
Required qualifications, capabilities, and skills
- Education: Engineering / Finance degree or CA / CFA / MBA / PGDBM
- Experience: 5+ years in FP&A, data analytics, or related functions.
- Technical Skills: Databricks/AWS, SQL, Python or R, and large-scale data transformation tools.
- Core Competencies: Strong analytical thinking, problem-solving, communication, and transformation mindset.




