Lead Data Engineer - Databricks, AWS at JPMC Candidate Experience page

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, AWS, Apache Spark, Python, SQL, Apache Airflow, Apache Flink, Kubernetes, Data Modeling, ETL/ELT, Apache Iceberg, Unity Catalog, CI/CD, Terraform, Docker, Kafka

Industry

Financial Services

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase, within the Commercial & Investment Banking – Data Analytics – Payments Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities * Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems * Designs, builds, and maintains scalable data pipelines and ETL/ELT workflows for batch and real-time processing using Spark, Airflow, Kafka, and Flink * Develops data platform components including data cataloging, data quality frameworks, and semantic/metrics layers with embedded governance, lineage, and compliance standards * Implements data modeling strategies (fact and dimensional, wide tables) to support analytics, reporting, and downstream consumption * Partners with analytics teams, product managers, and business stakeholders to translate data requirements into production-grade solutions * Develops secure high-quality production code, and reviews and debugs code written by others * Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems * Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture * Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Required qualifications, capabilities, and skills * Formal training or certification on software engineering concepts and 5+ years of applied experience * Hands-on practical experience delivering system design, application development, testing, and operational stability * Demonstrated professional experience focused on software engineering or data platform development * Experience designing and operating data pipelines on Databricks using orchestration tools such as Apache Airflow * Proficiency with cloud data services (AWS S3, Glue, Redshift, Athena, EMR, Lake Formation, or equivalent) * Advanced in Python and SQL programming languages * Hands-on experience with distributed data processing frameworks such as Apache Spark and Flink * Solid understanding of data modeling techniques (star schema, snowflake) and query optimization ) * Experience engineering production-grade data platforms on Kubernetes with open catalog integration (e.g., Apache Iceberg, Unity Catalog, OpenMetadata) for scalable data discovery, lineage, and governance. * Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security * Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills * Experience with Agentic AI, LLMs, RAG architectures, vector databases, and embedding-based retrieval systems * Hands-on familiarity with Internal Developer Portals such as Backstage — including service catalog management, software templating, and plugin development * Experience with data mesh or data product architectures * Proficiency with Infrastructure as Code (Terraform) and containerized deployments (Docker, Kubernetes) * Experience with data observability, quality, and metadata management tools * Experience with semantic layers, metrics stores, or BI platforms (Tableau, dbt Metrics) JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Responsibilities

Design and maintain scalable data pipelines and ETL/ELT workflows using Spark, Airflow, and Kafka. Lead the development of data platform components including governance, lineage, and compliance standards within an agile team.