Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Migration Architect

Mastek
London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist / Migration + Databricks

Energy Migration Senior Data Analyst (6-month contract)

Data Engineer - Fabric - Azure - London - Hybrid - 70k

Data Engineer

Data Engineer

Data Engineer

Job Title: Migration Architect

Location: London, UK (3 days in office)

SC Cleared: Required

Job Type: Full-Time

Experience: 8-12 years

Job Summary:

We are seeking a highly skilled Migration Architect to join our team. The ideal candidate will have a strong background in migrating financial/banking applications, interface re-connectivity, and experience in the banking and financial industry. In addition, the candidate should have experience with COTS (Commercial Off-The-Shelf) products and data modernization/transformation programs.

Key Skills and Experience:


  • Extensive Data Migration Experience:Proven track record of leading and executing complex data migration projects, preferably with 10+ years of experience.
  • Databricks Expertise:In-depth knowledge of the Databricks platform, including Delta Lake, Spark SQL, and Databricks Runtime.
  • Cloud Computing:Strong understanding of cloud platforms like AWS, Azure, or GCP, and their integration with Databricks.
  • Data Modeling and Architecture:Ability to design and implement efficient data models and architectures for migration to Databricks.
  • ETL and Data Integration:Proficiency in ETL tools and techniques for data extraction, transformation, and loading.
  • Data Quality and Validation:Experience in implementing data quality checks and validation processes during migration.
  • Project Management:Strong project management skills to lead and coordinate migration projects effectively.
  • Communication and Collaboration:Excellent communication and collaboration skills to work with stakeholders and technical teams.

Key Responsibilities:


  • Application Migration: Collaborate with stakeholders to understand existing applications and their dependencies; Develop migration strategies, including lift-and-shift, re-platforming, or re-architecting, based on business requirements
  • Connectivity Re-establishment: Work closely with technical teams to ensure connectivity to source systems during and after migration; Address any data synchronisation, API integration, or communication challenges
  • Risk Mitigation: Identify potential risks related to migration (data loss, downtime, security vulnerabilities) and develop mitigation plans; Ensure compliance with regulatory requirements during the migration process
  • Collaboration: Coordinate with project managers, developers, and infrastructure teams to execute migration plans. Communicate progress, challenges, and solutions to stakeholders.
  • Assess and plan data migration projects: Analyze existing data sources, define migration scope, and develop migration plans.
  • Design and implement data migration solutions: Design data models, ETL processes, and data validation strategies for migrating data to Databricks.
  • Lead and execute data migration projects: Manage project timelines, resources, and risks to ensure successful migration outcomes.
  • Ensure data quality and integrity: Implement data quality checks and validation processes to maintain data accuracy during migration.
  • Provide technical guidance and mentorship: Mentor junior team members and provide technical expertise on data migration best practices.


Qualifications:

  • Bachelor’s degree in computer science, Information Technology, or a related field.
  • Proven experience as a Migration Architect, preferably in the banking or financial sector.
  • Strong understanding of application architecture, databases, and networking.
  • Databrick and Azure data certifications
  • Familiarity with cloud services and migration tools.
  • Excellent problem-solving and communication skills.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.