Senior Manager - Data Engineering

About the role

The data engineering team is community of dedicated professionals committed to designing, building, and maintaining data platform solutions for the organization. Impact 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 As a Senior Manager you will be responsible for managing 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, Data Lakes, Cloud Data Platforms, 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. Strong management skills with the demonstrated ability to multitask and manage multiple small and large projects in a cross-functional environment. Use agile engineering practices and various data development technologies to rapidly develop and implement efficient data solutions. Motivate, Manage, and drive the team towards meeting business objectives. Strong stakeholder management and working with global technology and product teams across different time zones (primarily US) to deliver timely business value Drive automation, identify inefficiencies, optimize processes and data flows, and recommend improvements. Collaborate with the Data Architects, Solution Architects, and other IT partners 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. Use operational skills to drive efficiency and speed, have expertise in building repeatable data engineering processes, use strong agile and project management skills to deliver data products. Manage deliverables of developers, perform design reviews and coordinate release management activities. Experience in management of vendors and contractor resources Skills and Qualification Functional Skills: Leadership: Lead the data engineering team, provide guidance and mentorship Team Player: Support peers, team, and department management. Problem Solving: Excellent problem-solving skills, incident management, root cause analysis, and proactive measures to improve quality of service. Communication: Excellent verbal, written, and interpersonal communication skills. Attention to Detail: Ensure accuracy and thoroughness in all tasks. Technical/Business Skills: Overall experience of 15+ years in Data Engineering and Analytics Data Warehousing: 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 of working in leading public cloud (AWS) and cloud data warehouse (Snowflake) Data integration skills: Experience in industry leading ETL tools such as SAP Business Objects Data Services (BODS), Informatica Cloud Data Integration Services (IICS), IBM Data Stage and Python Transform / ETL tools such as DBT, Qlik Replicate, and similar AWS services Data Model: Strong knowledge of Logical and Physical Data Model usin