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Senior Lead Software Engineer - Data Engineer
Senior Lead Software Engineer - Data EngineerConfidential • Mumbai, India
Senior Lead Software Engineer - Data Engineer

Senior Lead Software Engineer - Data Engineer

Confidential • Mumbai, India
23 hours ago
Job description

Job Description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer - Data Engineer at JPMorgan Chase within the Wholesale Credit Risk team, you will lead the strategic transformation of our data landscape. This role offers you the opportunity to modernize our data infrastructure, enabling advanced analytics and data-promoten decision-making across the organization. You will inspire and guide a team of data engineers to optimize data sourcing strategies and deliver innovative, scalable, and secure data solutions. Join us to promote impactful change and foster a culture of collaboration, integrity, and continuous improvement.

Job Responsibilities

  • Architect and implement modern, scalable data solutions across hybrid cloud and on-prem environments, addressing both OLTP and OLAP requirements.
  • Set high standards for data engineering practices, including data modeling, ETL / ELT, data quality, governance, and metadata management. Directly contribute to solution design and development.
  • Oversee, mentor, and develop data engineering team, ensuring alignment with business objectives and technology strategy.
  • Drive initiatives to consolidate, de-duplicate, and migrate legacy Oracle databases and big data platforms to modern, cloud-based data platforms.
  • Champion best practices in data engineering, security, risk management, regulatory compliance, and automation.
  • Present data strategies, architecture decisions, and project updates to senior stakeholders. Collaborate cross-functionally with software engineering, analytics, and business teams.
  • Balance urgent operational needs with long-term strategic goals, prioritizing initiatives for maximum business impact.
  • Foster a culture of collaboration, integrity, innovation, and continuous improvement within the data engineering organization

Required Qualifications, Capabilities And Skills

  • Formal training or certification on data engineering concepts and 5+ years applied experience
  • Hands on experience in data engineering, with a proven track record of leading large-scale data architecture and transformation projects in hybrid cloud and on-prem environments.
  • Deep expertise in data modeling, database design, big data technologies, cloud data platforms (AWS, Azure, GCP), and modern data tools (e.g., Snowflake, Databricks, Airflow).
  • Strong experience architecting and optimizing transactional and analytical data systems.
  • Mastery of ETL / ELT pipelines, data migration, data quality frameworks, data governance, and metadata management.
  • Proficiency in enterprise-grade languages (e.g., Python) and data modeling & engineering tools.
  • Solid background in data security, risk management, and regulatory compliance.
  • Demonstrated ability to lead, mentor, and inspire data engineering teams, including cross-functional and global teams.
  • Excellent interpersonal, presentation, and stakeholder management skills.
  • Preferred Qualifications, Capabilities And Skills

  • Action-oriented, decisive, drives results systematically.
  • Skilled at assessing risk and making decisions with a holistic, big-picture perspective.
  • Demonstrates a can-do attitude and leads by example ; Detail-oriented, able to distinguish between important and urgent tasks.
  • Prioritizes helpfulness, mentorship, and team development.
  • ABOUT US

    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 for more information about requesting an accommodation.

    About The Team

    Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions : Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

    Skills Required

    Airflow, Metadata Management, Big Data Technologies, Data Modeling, data engineering , ELT, Gcp, snowflake , Databricks, Azure, Python, Etl, Aws

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