Enterprise Data Transformation Lead IRC289749

Overview

• Designation: Director
• Function: Engineering
• Experience: 10-15 years
• Location: United Kingdom - London
• Skills: AI, AWS, Databricks, GCP, Snowflake, Teradata

You will be the architect and orchestrator of the migration journey. This is a high-impact leadership role with a single point of accountability for transitioning a legacy data ecosystem to a modern cloud native data architecture. The individual is responsible for the end-to-end technical vision, from the initial discovery and architectural design to the final decommissioning of legacy hardware. They must own the migration execution strategy, ensuring that the plan is not only technically sound but also aligns with the bank’s rigorous risk, compliance, and continuity standards. Beyond technical delivery, they act as the primary bridge to executive stakeholders, translating complex technical roadmaps into business value and managing the expectations of global department heads. They are expected to lead, mentor, and drive a high-performing team of engineers and architects to execute a seamless cutover in a zero-downtime environment.

Requirements

• Experience leading large scale data platform modernisation programs; 5+ years in Cloud-specific data platform migrations.
• Proven ability to manage $10M+ transformation budgets and large cross-functional teams.
• Cloud Data Architecture: Proven hands-on experience designing and implementing cloud-native data platforms, with deep expertise in AWS, GCP, or Azure. Must be proficient in modern services such as Amazon EMR, Redshift, Athena, Glue, Lambda, BigQuery, and Google Dataflow. Expert Level experience with cloud data warehouses (e.g., Snowflake, Databricks, Teradata) is highly desirable.
• Modern Data Engineering Frameworks: Advanced proficiency in big data ecosystems—Hadoop, Spark (including PySpark), Flink, and contemporary MLOps or DataOps tooling (Airflow, dbt, Prefect).
• Database Expertise: Strong command of both traditional (SQL Server, Oracle, PostgreSQL, MySQL) and modern NoSQL platforms (MongoDB, Cassandra, DynamoDB, CosmosDB).
• Data Visualisation & Analytics: Familiarity with leading BI platforms (PowerBI, Tableau, Qlik). Experience integrating with embedded analytics and self-service data models is a plus.
• Programming & Automation: Strong coding skills in Python, with hands-on experience in R and/or Scala. Proficiency in infrastructure-as-code using Terraform, CloudFormation, or Pulumi. Experience integrating CI/CD pipelines and deploying containerised solutions (Docker, Kubernetes).
• Agile & Architecture Standards: Experience working within Agile and DevOps environments. Skilled in applying architectural frameworks such as TOGAF, Zachman, or the Data Management Body of Knowledge (DMBOK).
• Data Modelling & Pipeline Design: Expertise in conceptual/logical/physical data modelling, metadata management, building robust ETL/ELT pipelines, event streaming (Kafka, Kinesis, Pub/Sub), and supporting cloud and hybrid data migrations.
• Data Governance & Compliance: Deep understanding of data protection, privacy, and governance frameworks (GDPR, CCPA, ISO 27001, DAMA). Experience implementing data quality, auditing, cataloging (DataHub, Collibra, Alation, OpenMetadata), and master data management capabilities.
• Emerging Technology Awareness: Familiarity or hands-on exposure to AI/ML integration, knowledge graphs, data mesh/data fabric architectures, and observability tooling (e.g., Monte Carlo, DataDog, OpenLineage). Deep understanding of the Global Banking regulatory landscape.
• Financial Security Standards: Ensuring the solution adheres to global banking standards, including SOX, GDPR, and BCBS 239.
• Resilience & Recovery: Ownership of the Disaster Recovery (DR) and High Availability (HA) design, ensuring the new AWS platform meets or exceeds the bank’s RTO/RPO mandates.
• Audit Readiness: Maintaining comprehensive documentation of the design, testing results, and migration logs to provide a clear trail for regulatory examinations.
• Strong Communication & Leadership: Excellent stakeholder engagement, requirements gathering, and technical leadership skills. Proven ability to bridge business needs and technical execution.

Job responsibilities

• Driving outcomes through influencing, decision-making, and negotiation.
• Proactively engaging clients and stakeholders to deliver high-value solutions, nurturing relationships, and providing/receiving candid feedback.
• Excelling at stakeholder management, relationship building, active listening, and client empathy to understand needs.
• Confidently conveying complex information with exceptional communication and presentation skills, using emotional intelligence to resolve conflict constructively.
• Possessing strong business acumen to link technical solutions to strategic value.
• Demonstrating high resilience and adaptability, effectively managing competing priorities, and championing continual learning.
• Define data architecture vision, strategy, and roadmaps with C-level and board-level stakeholders, leading strategic IT/business transformations.
• Phased Roadmap Execution: Designing a multi-year wave plan that accounts for global dependencies, regulatory lock-out periods, and business-critical processing windows.
• Architect scalable data processing and analytics solutions, including enterprise data lakes and data warehouses, and lead business architecture solutions across cloud and associated technologies.
• Migration Accelerators: Identifying and implementing automated tooling (e.g., AWS SCT, code conversion engines, and automated testing suites) to industrialise the migration process.
• Hands-on develop and implement data solutions, design robust data pipelines for machine learning and business intelligence, and integrate various data sources.
• Interface with clients to understand their needs, communicate data-driven insights, foster trust, and provide subject matter expertise for proposals and RFPs.
• Resource & Skill Gap Analysis: Defining the team structure (squads) and identifying the specific upskilling required for the bank’s internal staff to operate the new AWS platform.

What we offer

• Culture of caring: At GlobalLogic, we prioritise a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.
• Learning and development: We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic.
• Interesting & meaningful work: GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter.
• Balance and flexibility: We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life.
• High-trust organisation: We are a high-trust organisation where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences.