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JPMorganChase

Data Architect III - Workforce Technology

Posted 7 Days Ago
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Hybrid
Hyderabad, Telangana
Mid level
Hybrid
Hyderabad, Telangana
Mid level
The Data Architect will develop data architecture solutions, collaborate with various teams, and ensure adherence to data governance and business needs.
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Job Description
Be a part of a dynamic team and excel in an environment that values diversity and creativity. Continue to sharpen your skills and ambition while pushing the industry forward.
As a Data Architect at JPMorgan Chase within the Employee Platforms, you serve as a seasoned member of a team to develop high-quality data architecture solutions for various software applications and platforms. By incorporating leading best practices and collaborating with teams of architects, you are an integral part of carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
In this role, you will be responsible for designing and implementing data models that support our organization's data strategy. You will work closely with Data Product Managers, Engineering teams, and Data Governance teams to ensure the delivery of high-quality data products that meet business needs and adhere to best practices.
Job responsibilities

  • Executes data architecture solutions and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions and break down problems
  • Collaborate with Data Product Managers to understand business requirements and translate them into data modeling specifications. Conduct interviews and workshops with stakeholders to gather detailed data requirements.
  • Create and maintain data dictionaries, entity-relationship diagrams, and other documentation to support data models.
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces data architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Evaluates data architecture designs and provides feedback on recommendations
  • Represents their team in architectural governance bodies
  • Leads the data architecture team in evaluating new technologies to modernize the architecture using existing data standards and framework
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of data frameworks, applications, and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contributes to data architecture communities of practice and events that explore new and emerging technologies


Required qualifications, capabilities, and skills

  • Formal training or certification on Data Architect and 3+ years applied experience
  • Hands on experience in data platforms, cloud services (eg, AWS, Azure or Google Cloud) and big data technologies
  • Strong understanding of database management systems, data warehousing, and ETL processes.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Knowledge of data governance principles and best practices.
  • Ability to evaluate current technologies to recommend ways to optimize data architecture
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as continuous integration and delivery, application resiliency, and security
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)


Preferred qualifications, capabilities, and skills

  • Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
  • Familiarity with big data technologies (e.g., Hadoop, Spark).
  • Certification in data modeling or data architecture.


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

AWS
Azure
GCP
Hadoop
Spark

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