IT Platform Lead - Data Engineering

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses.  We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

Are you passionate about solving complex problems? Do you thrive in a fast-paced environment? Then there’s a good chance you will love being a part of our Software Engineering – Development team at Kyndryl, where you will be able to see the immediate value of your work. The IT Platform Lead will be responsible for designing, building, modernizing, and operating enterprise-scale data engineering platforms that support analytics, AI/ML, regulatory reporting, and data-driven business use cases. Ensures data platforms are scalable, secure, resilient, compliant, and aligned with European banking regulatory, governance, and operational standards. Provides technical leadership across data engineering, cloud platforms, governance, operations, modernization, and platform reliability.

Own and drive enterprise data platform strategy, roadmap, standards, and implementation approach. Design scalable, secure, resilient, and high-performing data architectures across data lake, data warehouse, and lakehouse platforms. Lead end-to-end data engineering platform development, operations, modernization, and continuous improvement. Build and manage robust ETL/ELT pipelines for analytics, reporting, AI/ML, finance, risk, and regulatory use cases. Your contributions will have a significant impact on our products' success, and you will be part of a team that is passionate about innovation, creativity, and excellence. Above all else, you will have the freedom to drive innovation and take ownership of your work while honing your problem-solving, collaboration, and automation skills. Together, we can make a difference in the world of cloud-based managed services.

You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience 5 to 7+ years of experience in banking or BFSI domain Strong hands-on experience in data engineering, data integration, transformation, ingestion, and data distribution patterns. Advanced SQL expertise for complex querying, data modelling, performance tuning, reconciliation, and analytical workloads. Strong programming experience in Python with exposure to PySpark, Spark, Scala, or Java. Deep understanding of batch processing, incremental loads, CDC, pipeline orchestration, and data pipeline design. Experience building scalable pipelines for structured, semi-structured, and unstructured data. Strong knowledge of data modelling, dimensional modelling, data marts, enterprise data warehouse concepts, facts, and dimensions. Hands-on experience with big data and distributed processing technologies such as Spark, PySpark, Hadoop, or equivalent platforms. Experience with streaming and event-driven platforms such as Kafka or similar messaging technologies. Experience with workflow orchestration and scheduling tools such as Airflow, Control-M, TWS, or equivalent tools. Strong experience with cloud data platforms across Azure, AWS, or GCP. Hands-on experience with modern data platforms such as Snowflake, Databricks, Azure Synapse, BigQuery, Redshift, or equivalent platforms. Experience with CI/CD, DevOps,