Job Description

Job Description: Senior Principal Data Engineer - Data Engineering Value Preposition Responsible for building the data platform that support data integrations: building data pipelines to share data enterprise data, designing and building cloud solutions with appropriate data access, data security, data privacy and data governance Lead a team of Data Engineers, to maintain the platform constantly upkeeping it to be in-line with new technologies. Use agile engineering practices and various data development technologies to rapidly develop creative and efficient data products Job Details Position Title: Senior Principal Data Engineer Career Level: P5 Job Category: Vice President Role Type: Hybrid Job Location: Bangalore About the Team: The data engineering team is community of dedicated professionals committed to designing, building, and maintaining data platform solutions for the organization. Impact (Job Summary/Why this Role Matters) Enterprise data warehouse supports several critical business functions for the bank including Regulatory Reporting, Finance, Risk steering, and Customer 360. This role is vital for building and maintaining enterprise data platform, data processes, and to support business objectives. Our values inclusivity, transparency, and excellence drive everything we do. Join us and make a meaningful impact on the organization. Key Deliverables (Duties and Responsibilities) As a Senior Principal Data Engineer, you will be responsible for building and maintaining the data platform that supports data integrations: enriching data pipelines to share enterprise data, designing, building, and maintaining a data platform such as Enterprise Data Warehouse, Operational Data Store or Data Marts etc. with appropriate data access, data security, data privacy and data governance. Demonstrate technical knowledge and leadership in software development, data engineering frameworks and best practices. Building a strategy and execution plan for the multiple programs/initiatives across the organization Helping the teams in architecting and designing large scale applications Acting as a trusted advisor to leaders (Directors / Sr. Directors) on strategic technology and data solution directions Participates on the Change Advisory Board (CAB) and ensures effective change control is implemented for all infrastructure and/or application installations, rollbacks, and updates. Collaborate with the Data Architects, Solution Architects & Data Modelers to enhance the Data platform design, constantly identify a backlog of tech debts in line with identified upgrades and provide technical solutions & implement the same. Collaborate with IT and CSO teams to ensure compliance with data governance, privacy and security policies and regulations. Manage deliverables of developers, perform design reviews and coordinate release management activities. Drive automation, identify inefficiencies, optimize processes and data flows, and recommend improvements. Use agile engineering practices and various data development technologies to rapidly develop and implement efficient data products. Work with global technology teams across different time zones (primarily US) to deliver timely business value. Skills and Qualification (Functional and Technical Skills) Functional Skills: Leadership: Driving strategic and technical initiatives for data engineering team, provide guidance and mentorship. Business/Domain Knowledge: Good understanding of application systems and business domains Partnership and Collaboration: Develop and maintain partnership with business and IT stakeholders Communication: Excellent verbal, written, and interpersonal communication skills. Problem Solving: Excellent problem-solving skills, incident management, root cause analysis, and proactive solutions to improve quality. Team Player: Support peers, team, and department management. Attention to Detail: Ensure accuracy and thoroughness in all tasks. Technical/Business Skills: Data Engineering: Experience in designing and building Data Warehouse and Business Intelligence dashboards. Extensive knowledge of data warehouse principles, design, and concepts. Technical expertise working in large scale Data Warehousing applications and databases such as Oracle, Netezza, Teradata, and SQL Server. Deep technical knowledge in data engineering frameworks and best practices. Experience with public cloud-based data platforms especially Snowflake, AWS, and machine learning capabilities such as Sagemaker, DataRobot. Data integration skills: Expertise in creating and maintaining ETL processes and architecting complex data pipelines - knowledge of data modeling techniques and high-volume ETL/ELT design. Solutions using any industry leading ETL tools such as SAP Business Objects Data Services (BODS), Informatica Cloud Data Integration Services (IICS), IBM Data Stage. Knowledge of ELT tools such as DBT, Fivetran, and AWS Glue Data Model: Expert knowledge of Logical and Physical Data Model using Relational or Dimensional Modeling practices, and high-volume ETL/ELT design. Expert in SQL - development experience in at least one scripting language (Python etc.), adept in tracing and resolving data integrity issues. Data Visualization using Power BI or Tableau Performance tuning of data pipelines and DB Objects to deliver optimal performance. Excellent data analysis skills using SQL and experience in incident management techniques. Data protection/compliance standards like GDPR, CCPA, HIPAA Experience working in Financial Industry is a plus Leadership Qualities (For People Leaders) Communication: Clearly conveys ideas and listens actively. Inspiration: Motivates and encourages the team to achieve their best. Influence: Extensive stakeholder management experience and ability to influence people Driving strategic and technical initiatives Relationships & Collaboration Reports to: Associate Director - Data Engineering Partners: Senior leaders and cross-functional teams Leads: A team of Data Engineering associates Accessibility Needs We are committed to providing an inclusive and accessible hiring process. If you require accommodations at any stage (e.g. application, interviews, onboarding) please let us know, and we will work with you to ensure a seamless experience.