Senior Lead Data Architect

Hyderabad, Telangana, India

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You strive to be an essential member of a diverse team of visionaries dedicated to making a lasting impact. Don’t pass up this opportunity to collaborate with some of the brightest minds in the field and deliver best-in-class solutions to the industry.


  As a Senior Lead Data Architect at JPMorgan Chase within the Consumer and Community Banking, you are an integral part of a team that works to develop high-quality data architecture solutions for various software applications and platform products. Drive significant business impact and help shape the global target state architecture through your capabilities in multiple data architecture domains.

Job responsibilities

 

  • Represents the data architecture team at technical governance bodies and provides feedback regarding proposed improvements regarding data architecture governance practices
  • Evaluates new and current technologies using existing data architecture standards and frameworks
  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Develops secure, high-quality production code and reviews and debugs code written by others 
  • Drives data architecture decisions that impact product design, application functionality, and technical operations and processes
  • Serves as a function-wide subject matter expert in one or more areas of focus 
  • Actively contributes to the engineering community as an advocate of firmwide data frameworks, tools, and practices in the Software Development Life Cycle
  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies
  • Advises junior architects and technologists
  • Adds to team culture of diversity, equity, inclusion, and respect

 

Required qualifications, capabilities, and skills

 

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands on experience in Data modelling (erwin), Nosql (cassandra), ETL, AWS, Kafka, spark, data pipeline (airflow)
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming languages, applications, and architecture
  • Advanced knowledge of architecture, applications, and technical processes with considerable in-depth knowledge in one or more technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Practical cloud native experience
  • Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture 
  • Adds to team culture of diversity, equity, inclusion, and respect
 

 

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
   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.
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Tags: Airflow Architecture AWS Banking Cassandra Engineering ETL Kafka Machine Learning NoSQL SDLC Spark Testing

Region: Asia/Pacific
Country: India

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