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JPMorgan Sr Lead Architect 
India, Telangana, Hyderabad 
495241365

08.04.2025

Job responsibilities

  • Represent the Data Product Solutions Architecture team in various forums, advising on Data Product Solutions.
  • Lead the design and maintenance of scalable data solutions, including data lakes and warehouses.
  • Collaborate with cross-functional teams to ensure data product solutions supports business needs and enables data-driven decision-making.
  • Evaluate and select data technologies, driving the adoption of emerging technologies.
  • Develop architectural models using Archimate, C4 Model, etc. and other artifacts to support data initiatives.
  • Serve as a subject matter expert in specific areas.
  • Contribute to the data engineering community and advocate for firmwide data practices.
  • Engage in hands-on coding and design to implement production solutions.
  • Optimize system performance by resolving inefficiencies.
  • Influence product design and technical operations.
  • Develop multi-year roadmaps aligned with business and data technology strategies.
  • Design reusable data frameworks using new technologies.

Required qualifications, capabilities, and skills

  • Bachelor's or Master's degree in Computer Science or related field with 10+ years of experience.
  • 5+ years as a Data Product Solution Architect or similar role leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
  • Hands-on experience in system design, application development, and operational stability.
  • Expertise in architecture disciplines and programming languages.
  • Deep knowledge of data architecture, modeling, integration, cloud data services, data domain driven design, best practices, and industry trends in data engineering
  • Practical experience with AWS, big data technologies, and data engineering disciplines.
  • Advanced experience in one or more data engineering disciplines, e.g. streaming, ELT/ELT, event processing.
  • Proficiency in SQL and data warehousing solutions using Teradata or similar cloud native relational databases, e.g. Snowflake, Athena, Postgres
  • Strong problem-solving, communication, and interpersonal skills.
  • Ability to evaluate and recommend technologies for future state architecture.
Preferred qualifications, capabilities, and skills
  • Financial services experience, especially in card and banking.
  • Experience with modern data processing technologies such as Kafka streaming, DBT, Spark, Python, Java, Airflow, etc. using data mesh & data lake.
  • Business architecture knowledge and experience with architecture assessment frameworks.