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Salary
$27k – $65k per year (Estimated)
Location
Remote (India)
Seniority
Staff · 7+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Kyndryl is an American IT infrastructure services company created in November 2021 when IBM spun off its managed infrastructure division, and it is the largest provider of its kind in the world. It designs, builds, runs and modernises the mission-critical systems of thousands of enterprise and government customers, covering mainframes, hybrid cloud, networks, security, applications and data platforms across more than sixty countries. Freed from its former parent, the company has built alliances with Microsoft, Amazon Web Services, Google Cloud and SAP, and is shifting revenue mix from legacy managed contracts toward consulting and modernisation work.

Who We Are

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.

The Role

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.

Key Responsibilities

  • 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.

Who You Are

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, 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.

  • Proven leadership in managing data engineering teams, stakeholder engagement, architecture governance, vendor coordination, platform reliability, and cost optimization.

  • Leadership & Platform Ownership

  • Ability to translate business, regulatory, and operational requirements into scalable technical solutions.

  • Ability to balance delivery timelines, platform stability, regulatory priorities, technical debt, and modernization goals.

  • Experience working in complex, multi-country, enterprise banking or financial services environments.

  • Strong communication, problem-solving, decision-making, and technical governance capabilities.

Preferred Technical and Professional Experience

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, Data Engineering, or related field.

  • Preferred certifications: Azure Data Engineer, AWS Data Analytics, Google Professional Data Engineer, Snowflake, Databricks, Spark, Data Governance, Cloud Architecture, or DevOps certifications.

  • Exposure to Dataiku for analytics workflows and enterprise data platform integration.

  • Exposure to MicroStrategy, Power BI, Tableau, or similar BI/reporting platforms.

  • Experience with dbt for transformation, modelling, and governed analytics engineering.

  • Knowledge of container platforms, Kubernetes, OpenShift, or modern platform engineering practices.

  • Experience in data platform migration, legacy modernization, and cloud transformation programs

Being You

The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.

What You Can Expect

Your career with us isn’t just a job-it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best.

From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute-you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.

We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success.

We want you to thrive here-and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next.

Get Referred!

If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

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