JP Morgan Chase

4 weeks ago

Hyderabad, India JP Morgan Chase Full time

Vice President - Data Domain Architect


Description: You are a strategic thinker passionate about driving solutions in Data Analytics Solutions . You have found the right team.

Job Responsibilities:

- Utilizing Databricks and ThoughtSpot tools, create a robust and efficient reporting environment for PXT Finance data analytics and reporting.

- Design and implement comprehensive and efficient data mart schemas that consolidate key data categories from various source systems, tailored to the needs of the PXT Finance & Business Management functions.

- Collaborate with cross-functional teams, including data engineers, data analysts, and technical specialists, to gather and analyze business requirements.

- Develop, implement, and optimize data workflows, Extract Transform Load (ETL) processes, and data pipelines using Databricks.

- Work closely with your business domain Product teams and business stakeholders to:


1) design and develop insightful reporting and analytics solutions that drive informed decision-making


2) apply design led thinking to meet their needs, including making data discoverable and accessible for analytical needs.

- Maintain up-to-date documentation on data mart architecture, data models, ETL processes, and data governance policies.

- Stay current on industry best practices and emerging trends in data warehousing, data integration, and data management, ensuring the organization remains at the forefront of innovation.

Required qualifications, capabilities and skills:

- Overall 10+ years of experience in data architecture, data warehousing, and data integration, with a focus on the retail banking or financial services industry.

- Bachelor's degree in Computer Science, Information System, or related discipline

- Experience with Databricks, Snowflake, or other Cloud Data Warehouse

- Expertise in designing and implementing scalable and efficient data mart architectures, including star schema, snowflake schema, and other data modeling techniques.

- Strong knowledge and experience with data management, data lineage, data dictionaries, and making data discoverable.

- Proven track record of successfully managing and delivering complex data projects in a fast-paced, dynamic environment.

- Strong written and verbal communication skills

- Working experience in SQL, Data Modeling, ERWIN

Preferred qualifications, capabilities and skills:

- Strong knowledge of Amazon Web Services (AWS)

- AWS Certifications

- Experience on market leading data catalog systems

- ThoughtSpot, Tableau, Alteryx, or Essbase experience

JPMorgan Chase & Co., 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.

Note : For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well.

(ref:iimjobs.com)

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