Microsoft D365 CE Data Migration / Data Integration Architect/Lead

HCLTech
Nottingham
1 month ago
Applications closed

Related Jobs

View all jobs

Data Architect

D365 Data Consultant

Power Platform Consultant (Contract)

Data Consultant

Data & AI Architect, Microsoft Azure, PaaS, ETL, Data Modelling Remote

Data Science Consultant - Gen-AI

HCLTech is seeking a Microsoft Dynamics 365 CE Data Migration / Data Integration Architect/Lead to join their award winning and growing team. This individual’s primary responsibility will be to demonstrate a clear approach to Migration and integration efforts within the project team. The candidate must be able to work closely with different personality types and skillsets, be detail-oriented, and be meticulously organised. In addition, success requires the candidate to be able to prioritize multiple demands in a fast-paced environment.


Requirements:

  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
  • Proven experience as a data architect or in a similar role.
  • Strong expertise in data modelling, database design, and data integration techniques.
  • Proficiency in database management systems (e.g., SQL Server, Oracle, MySQL, MongoDB).
  • Knowledge of data governance frameworks, data quality management, and data security.
  • Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration abilities.
  • Ability to work independently and manage multiple projects simultaneously.
  • Certifications in data management or data architecture (e.g., CDMP, DAMA) are a plus.


Responsibilities:


  • Data Strategy Development: Development: Collaborate with business stakeholders to define data strategy and align it with organizational goals. Develop a roadmap for data architecture and identify opportunities for data optimization and enhancement.
  • Data Modelling and Design: Design and develop conceptual, logical, and physical data models to meet business requirements. Ensure data models are aligned with industry standards, best practices, and data governance policies.
  • Data Integration: Define data integration strategies and implement data integration processes to consolidate and synchronize data from various sources. Develop and maintain data integration pipelines, ensuring data accuracy, consistency, and reliability.
  • Data Governance and Quality: Establish data governance frameworks, policies, and procedures to ensure data integrity, security, and compliance. Implement data quality control measures to identify and resolve data issues.
  • Database Management: Oversee the design, implementation, and management of databases, ensuring optimal performance, scalability, and reliability. Evaluate and recommend appropriate database technologies and tools.
  • Collaboration and Communication: Collaborate with cross-functional teams, including data analysts, business intelligence teams, and software developers, to understand data requirements and provide technical guidance. Communicate data architecture and design decisions effectively to stakeholders.
  • Emerging Technologies: Stay updated with emerging trends and technologies in data management, analytics, and cloud computing. Evaluate and recommend new technologies and tools that can enhance the organization's data capabilities.


Essential Functions

  • Assist the Technical Architect in designing technical solutions to meet customer requirements in D365 CE.
  • Assist the Technical Architect in designing integrations between D365 applications and legacy/third party systems using multiple technologies, including Azure Logic Apps, Power Apps, Azure Data Factory, Fabric and SSIS.
  • Take part in, and in some cases lead, workshops with the customer to gather technical requirements with a view of ensuring technical solutions meet the customers’ requirements within the guidelines of the technical solution set out by the Technical Architect.
  • Report to the Technical Architect and/or Project Manager on a regular basis with updates on progress, risks/challenges and resourcing requirements.
  • Write Technical Design Documents detailing how technical solutions should be built so development teams can carry out the builds.
  • Write Integration Design Documents detailing how integration solutions should be built so development teams can carry out the builds.
  • Lead the development team, deciding on priorities for delivery and managing resources to deliver solutions in a timely manner to support the project
  • Be responsible for Quality Assurance of developments delivered by the development team, carrying out code reviews and best practice checks and ensuring quality delivery
  • Aid with regular quality audits for Implementation Programmes related to D365 CE
  • Assist the REM team with deployment of releases to customer environments
  • Manage development resources during SIT/SAT and UAT cycles to ensure proper levels of support including managing priorities and workloads of the team
  • Attend regular meetings with the Leads of all technical teams on the project to ensure all teams are working towards a singular goal
  • Mentor members of the development team to improve their skills
  • Contribute to Best Practice processes

Required Skills and Experience

  • Proficient/Skilled at PowerShell development
  • Proficient/skilled in Dev Ops ALM components/Release process
  • Proficient/Skilled at Azure Logic App Development
  • Proficient/Skilled in Azure components such as Azure Key Vault, On-Premise Data Gateway, Azure Monitor
  • Proficient/Skilled at Power Apps/DataVerse Development
  • Proficient/Skilled at SQL scripting/development.
  • Detailed understanding of security design principles for both D365 CE and Azure components, including the mechanisms for authorisation and interaction with these components.
  • Skilled at writing detailed technical documentation in a clear and concise manner.
  • A detailed knowledge of DevOps/Git and general rules/processes for development/source controls.
  • Great communication skills to enable clear and consistent communications with both members of the Technical team and also with Functional Consultants and customers’ staff
  • Good leadership skills: must be able to lead a team, manage timelines and priorities, and take responsibility for deliverables.

HCL Technologies is an Equal Opportunity Employer. Applicants receive consideration for employment regardless of their race, color, creed, religion, national origin, sex, sexual orientation, disability, age, marital status, or status with regard to public assistance.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.