Lead Data Architect

Posted 3 Days Ago
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Mumbai, Maharashtra
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
The Lead Data Architect shapes data strategy, ensures data quality, mentors junior architects, and designs scalable data solutions aligned with business goals.
Summary Generated by Built In
Job Description
Your goal is to become a key player among other imaginative thinkers who share a common commitment to continuous improvement and meaningful impact. Don't miss this chance to collaborate with brilliant minds and deliver premier solutions that set a new standard.
The Lead Data Architect will play a pivotal role in shaping the data strategy and architecture for the whole of AWM. This position requires a deep understanding of data management principles, data modeling, and data integration techniques with the ability to leverage agentic solution to speed delivery. The ideal candidate will have hands on 5+ years of experience in data architecture or relevant equivalent experience, with a proven track record of designing scalable and efficient data solutions.
Job responsibilities
  • Design and implement data architecture solutions that align with business objectives and technology strategies.
  • Develop and maintain data models, data flow diagrams, and data dictionaries to support business processes.
  • Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
  • Ensure data quality, integrity, and security across all data systems and platforms.
  • Provide guidance and mentorship to junior data architects and data engineers.
  • Stay current with industry trends and emerging technologies to drive innovation in data architecture.
  • Develop and enforce data governance policies and best practices.
  • Conduct performance tuning and optimization of data systems to ensure high availability and scalability.
  • Work closely with stakeholders to identify opportunities for data-driven improvements and efficiencies.

Required qualifications, capabilities, and skills
  • Formal training or certification on Data Architecture and software engineering and relevant 5+ years of applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced knowledge of architecture and one or more programming languages
  • Proficiency in automation and continuous delivery methods
  • Proficiency in all aspects of the Software Development Life Cycle
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
  • Advanced knowledge of one or more software, application, and architecture disciplines
  • Ability to evaluate current and emerging technologies to recommend the best data architecture solutions for the future state architecture

Preferred qualifications, capabilities, and skills
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • 8-10 years of experience in data architecture, data modeling, and data integration or relevant equivalent
  • Strong expertise in database technologies (e.g., SQL, NoSQL, Oracle, MongoDB).
  • Proficiency in data warehouse. Data lake, Lake House, Data Mesh, or Data Fabric architectures.
  • Understanding and/or experience with streaming and/or batch data movement including ELT/ ETL processes and tooling (Informatica, Pentaho, DBT, Glue)
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
  • Excellent problem-solving skills and the ability to work independently and collaboratively.
  • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Proven experience in leading data architecture projects and initiatives.
  • Familiarity with data governance frameworks and practices.

Top Skills

AWS
Azure
Data Architecture
Dbt
Glue
GCP
Hadoop
Informatica
MongoDB
NoSQL
Oracle
Pentaho
Spark
SQL

What the Team is Saying

Nick S.
Lupe C.
Edwin T.
Dawn T.
Meng M.
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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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