IT Platform Lead – Data Engineering

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🕒 May 27

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Kyndryl

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2021

🏢 Enterprise

🔒 Cybersecurity

☁️ SaaS

Enterprise • Cybersecurity • SaaS

Kyndryl is a leading IT infrastructure services provider, serving thousands of enterprise customers worldwide. The company specializes in designing, building, managing, and modernizing complex, mission-critical information systems. Kyndryl offers a range of services including IT consulting, cloud services, cybersecurity, data and AI solutions, and digital workplace transformation. With a strong focus on innovation, partnerships, and co-creation, Kyndryl helps businesses tackle IT complexity and drive operational excellence. The company operates across various industries such as automotive, healthcare, banking, and more, providing expertise and solutions to address industry-specific challenges. Kyndryl's global network and strategic alliances empower enterprises to adapt to the evolving technology landscape, ensuring their essential systems are reliable and efficient.

📋 Description

• 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

🎯 Requirements

• 3 to 5 years of experience in banking or BFSI domain with strong focus on data engineering, data platforms, analytics, and enterprise data architecture • 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, Git, automated deployments, infrastructure-as-code, release management, and platform automation • Strong understanding of data governance, data quality, metadata management, lineage, reconciliation, monitoring, and observability • Knowledge of GDPR, data privacy, access control, encryption, masking, retention, audit controls, and security-by-design principles • Strong understanding of banking data domains including Payments, Cards, Lending, Credit, Finance, Risk, Regulatory Reporting, Treasury, and Investments.

🏖️ Benefits

• Flexible, supportive environment • Well-being prioritization • Professional development opportunities