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Data Domain Architect Lead

2 months ago

Bengaluru, India JPMorgan Chase & Co. Full time

Job responsibilities: 

Partner with CCB’s Data Publishers and Product Owners in cross-disciplinary teams to improve how they publish their information. Advocate the adoption of open-sourced data processing pipelines & algorithms to help clients manage and anticipate data needs from varied structured and unstructured data sources Actively be involved in researching and experimenting with leading/emerging data governance and processing methodologies and technologies to facilitate advanced analytics use cases. Develop metrics and procedures for assessing, managing and characterizing data Participate in collaborating with the firm's Chief Data Offices and Technology Functions to develop standards and best practices Influence key stakeholders to define tasks and guidelines for workflows and manage decisions throughout the lifecycle. Builds product backlog, prioritize its items to achieve Objectives and Key Results (OKRs) and continuously Co-ordinates project activities across different client service and operations groups, technology teams and cross-functional groups such as compliance and legal Challenges stakeholders to ensure optimal process design ensuring efficiency, effectiveness and proper operational risk management including controls

Required qualifications, capabilities and skills

Bachelor’s degree in MIS or Computer Science, Mathematics, Engineering, Statistics or other quantitative or financial subject areas Minimum of 5 years’ experience working with data analytics projects Minimum 3 years’ experience developing advanced data visualization and presentations preferably with Tableau Experience with relational databases optimizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions Highly motivated, self-directed, curious to learn new technologies

Preferred qualifications, capabilities and skills

Experience working with data analytics projects in the financial services domain Experience developing advanced data visualization and presentations with Tableau Experience with Hive, Spark SQL, Impala or other big-data query tools AWS, Databricks, Snowflake, or other Cloud Data Warehouse experience Experience with ThoughtSpot or similar tools empowering stakeholders to better understand their data Experience with business intelligence analytic and data wrangling tools such as Alteryx, SAS, or Python

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