As a Data Domain Architect-Analyst in our team Strategic Transformation Office (STO), you'll work along with development leads and business teams to understand the business problem, design, develop & implement data products & solutions, driving automation agenda for Global Finance and Business Management organization, part of OCFO for JPMorgan Chase.

At JPMorgan Chase we are looking for a data person who is eager to apply their skills to solve complex problems and create impactful solutions. Join us and be part of a team that is transforming the future of technology.

Posting description:

Join the team that is shaping the future of data architecture at one of the world's most innovative bank JPMorgan Chase.

As a Data Domain Architect, you will play a pivotal role in shaping our data architecture strategy to support our global business needs. This role involves collaborating with various stakeholders to ensure that data systems are scalable, secure, and aligned with business objectives. Will leverage your expertise in data systems and automation to design and implement innovative solutions that drive efficiency and scalability. The architect plays a crucial role in driving data-driven decision-making and innovation across the enterprise. If you are intellectually curious and passionate about driving data-driven solutions across organizational boundaries, you may be the perfect fit for our team.

Job responsibilities:

• Data Architecture Design: Develop and maintain comprehensive data architecture frameworks that support business needs and technological advancements. Ensure the architecture is scalable, efficient, and adaptable to changing requirements.

• Process Automation: Create and implement process automation strategies leveraging existing toolsets to enhance operational efficiency and reduce manual intervention.

• ETL Workflow Development: Design and develop ETL workflows, Data Pipelines to facilitate efficient data extraction, transformation, and loading processes, ensuring data integrity and quality.

• Excel Data Handling: Manage and manipulate large datasets using Excel, employing advanced functions and techniques to support data analysis and reporting needs.

• End-to-End Project Management: Take full ownership of the application lifecycle, from requirement gathering to development and production release, ensuring seamless integration and delivery of data solutions.

• Cross-Functional Collaboration: Work closely with stakeholders across various departments to understand data requirements and deliver solutions that align with business objectives.

• Continuous Improvement: Identify opportunities for process improvements and implement best practices to optimize data architecture and management.

Required qualifications, capabilities, and skills:

• Bachelor’s or Master's degree in Computer Science, Data Science, or equivalent field.

• 3+ years of overall IT experience working as a data domain architect.

• Experience and proficiency in coding languages such as Python, SQL, Pyspark, API, OCR, Automation.

• Experience with statistical techniques - i.e. data mining, data transformations, text mining, data visualization.

• Comfort with ambiguity and proven ability to structure problems.

• Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred qualifications, capabilities, and skills:

• Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency).

• Experience on Agile and CI-CD process.

• Outstanding written/verbal communication and presentation skills.