Delivery Manager - Data Engineering

Salary : 25 to 45 & Responsibilities : - Lead the overall data engineering lifecycle including proof of concepts, architecture, design, development, test, deployment and maintenance of data pipeline and solutions - Establish and implement standardized guidelines for ETL and data architecture, ensuring consistency and efficiency - Guide team to create frameworks that guarantee data quality, handle errors effectively, provide audit controls, and offer reusable transformation structures - Lead team to apply a comprehensive, enterprise-wide approach to building data models and data management strategies, ensuring seamless integration across upstream and downstream applications - Transform business requirements into creative and practical data solutions that address constraints and optimize processes. - Effectively communicate with business users, US team, architects, data analysts, and other teams to ensure data solutions meet their needs and align with overall objectives. - Lead and mentor multiple data engineering teams to achieve project objectives & deliverables - Manage day to day operation and ensure adherence to process, scope, quality and timelines - Participate in review of requirements, architecture & design - Highlight risks and concerns, work with US managers to establish alignment, contingency and mitigation plans as required - Constantly looking to identify impediments early, actively working to resolve those impediments, and escalate when needed - Track delivery statuses, project progress and take ownership of critical incidents till completion - Take ownership and accountability of critical projects (for work executed in India) - Publish regular status to leadership team highlighting risks & issues among other things - Other duties as assigned or requested - approximately 50% technical and 50% management Around 15 years of overall experience : - Experience managing complex data projects and programs involving data engineering, ingestion, transformation, aggregation, modelling and storage - Experience in designing ETL/ELT solutions using Informatica, Python / Pyspark, Databricks etc. - Experience building, mentoring, and managing high performing teams spread across multiple geographical locations - Strong customer focus, communication, collaboration and problem-solving skills - Excellent communication, confidence & attitude - Understanding / experience in big data technologies (HDFS, Spark, Pyspark, Databricks etc) - Basic working knowledge in any cloud - Experience in leading a team and delivering complex projects involving creation and maintenance of data pipeline. - Google Cloud knowledge / experience - Agile experience (ref:hirist.tech)

Location: chennai, IN

Posted Date: 1/18/2025