Lead Data Engineer

🕒 May 21

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Lead enterprise data engineering services across ingestion, transformation, validation, delivery, recovery, and pipeline reliability • Manage data pipelines across file, API, streaming, and batch ingestion patterns • Provide technical leadership for pipeline design reviews, operational readiness, troubleshooting, and recovery planning • Ensure data engineering operations are secure, auditable, SLA-driven, and governance-aligned • Operate, monitor, and optimize ingestion, transformation, and delivery pipelines across enterprise data platforms • Validate schema, metadata, format, structural integrity, lineage, and data quality before ingestion and downstream release • Manage retries, late-arriving data, partial loads, backfills, reruns, and out-of-order data handling • Define and govern data quality checks including nulls, referential integrity, completeness, consistency, timeliness, duplicates, gaps, and reconciliation • Enforce automated validation controls and ensure invalid datasets are blocked pending approval • Address schema drift, malformed data, and structural anomalies through approved operational handling • Lead implementation and governance of transformation frameworks using dbt and NiFi/OpenFlow • Provide technical oversight on logical/physical data models, transformation documentation, modelling standards, and pipeline design • Support performance tuning and optimization of SQL and Python-based data workloads • Lead operational governance of Snowflake, including environment setup, security controls, data domain onboarding, data models, and runbooks • Support Dataiku-based analytics workflows, dataset validation, schema checks, model artefact validation, and enterprise platform integration • Provide technical leadership for MicroStrategy and Power BI semantic models, dashboards, BI refresh cycles, publishing jobs, and platform stability • Maintain CI/CD pipelines, version control, traceability, release sequencing, testing, deployment, rollback, and change governance • Monitor throughput, connector health, validation rules, execution latency, failures, SLAs, dependencies, alerts, and platform availability • Provide technical RCA, operational reporting, audit evidence, log integrity, retention, backup validation, DR testing, and recovery support • Maintain architecture diagrams, lineage, runbooks, SOPs, dependency matrices, job definitions, KT material, and reusable knowledge artefacts

🎯 Requirements

• 8 to 10+ years of experience in data engineering with strong depth in enterprise data engineering, data platforms, data warehousing, BI operations and managed services • Proven experience leading Architects, senior data engineers, platform engineers, data analysts, BI engineers and technical SMEs • Strong experience operating and governing enterprise-grade data pipelines, data quality controls, transformation frameworks and analytical platforms • Prior experience in banking or financial services data platforms is strongly preferred • Experience in core banking transformation, digital banking, data migration, reporting modernization, or regulatory change programs • Experience supporting production data pipelines, batch operations, regulatory submissions, and BI reporting solutions • Prior experience in banking, lending, risk, tax, securities, customer data, or regulatory reporting platforms • Exposure to European banking regulatory environments and compliance frameworks

🏖️ Benefits

• Flexible, supportive environment • Be Well programs designed to support financial, mental, physical, and social health