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JPMorganChase

Senior Lead Data Architect

Posted 2 Days Ago
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Hybrid
Bengaluru, Karnataka
Senior level
Hybrid
Bengaluru, Karnataka
Senior level
The Senior Lead Data Architect at JPMorgan Chase will develop data architecture solutions, evaluate technologies, lead governance practices, and collaborate with teams to align data strategies with business goals.
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Job Description
Job Description
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 Corporate Technology in Corporate Data & Analytics technology team, you are an integral part of a team that works to develop/govern 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
  • Define and implement process to drive application compliance in accordance with firms' data risk management policies and standards in areas such as data retention & destruction, data quality and data localization.
  • Partner with LOB/CF data architecture teams and Chief Data Office group to ensure alignment between data governance and the organization's data architecture strategy.
  • Help develop and implement a data governance strategy aligned with the organization's goals and objectives.
  • Define and track key performance indicators (KPIs) for data governance efforts and report progress to executive leadership.
  • Lead the governance of logical and physical data models, database structures, and data flows to support operational and analytical systems
  • Develops secure, high-quality production code and reviews and debugs code written by others to help automate data governance activities.
  • Drives data architecture decisions that impact product design, application functionality, and technical operations and processes
  • 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.

Required qualifications, capabilities, and skills
  • Formal training or certification on Data Architecture concepts and 5+ years applied experience
  • Strong hands-on practical experience delivering data architecture and solution architecture for data management, data governance, data engineer and data operations.
  • Ability to deliver several types of data models with multiple deployment targets, e.g. conceptual, logical and physical data models deployed as an operational vs. analytical data stores.
  • Advanced in one or more data engineering disciplines, e.g., streaming, ETL, event processing.
  • Advanced knowledge of architecture, applications, and technical processes with considerable in-depth knowledge in data architecture discipline and solutions (e.g., data modeling, native cloud data services, business intelligence, artificial intelligence, machine learning, data domain driven design, etc.)
  • Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture.
  • Effective communication skills with the ability to present complex data concepts to both technical and non-technical audiences.
  • Experience with data modeling and data cataloging tools

Preferred qualifications, capabilities, and skills
  • Good Financial Industry experience such as Finance, Risk & Compliance is a big plus.
  • Experience with Databricks and experience of working in data governance function is plus.
  • Experience in machine learning/AI with Python development a big plus
  • Familiarity with data wrangling and dashboarding tools (e.g., Alteryx, Tableau)

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 professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Top Skills

Alteryx
Artificial Intelligence
Data Architecture
Data Engineering
Data Governance
Databricks
ETL
Machine Learning
Python
Tableau

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