Data Architect – Senior Manager – Consulting

Role: Data Architect – Senior Manager (Permanent position)

Client: Global Consulting Firm

Location: London & remote

Salary: Competitive + benefits

Key responsibilities

• Taking a lead role in designing and scoping interesting data programmes to address complex client problems from strategy to execution;
• A senior manager will lead multiple workstreams or projects with multi-disciplinary teams of data specialists, strategists, experience consultants and technology gurus. Inspiring them to deliver great client outcomes through complex strategy-led and technology-led transformation programmes;
• Building and maintaining deep and long-lasting relationships with senior stakeholders;
• Develop new business and revenue streams through embedding advanced data and analytics use cases in wider business transformation propositions, supporting market development activities;
• Contribute to internal innovation for data and digital assets: visioning and leading new, creative ideas and concepts through to fruition.
• Intellectual curiosity – keeping up to date with the fast pace of change of data methodologies and technologies
• Being a “data influencer” – leading on data thought leadership with colleagues across the firm, bringing an awareness of the latest techniques and technologies;
• Caring passionately about the progression of the team working with and reporting to you: developing their technical competence and shaping their career paths; and
• Overseeing and being accountable for the performance of new and existing projects, programmes, contributing to sales activities, staffing, quality, risk and commercial management.

Requirements

As a senior data architect, you will design technical data-driven solutions for our clients. You will supervise the implementation of those data-driven solutions, and ensure the enterprise strategic vision is met. You will function as a technical leader, making sure that the data architecture under your watch is secure and sustainable. You will work to develop data integration strategies while showcasing extensive experience in data management.

Essential requirements for this role:

• Educated to degree level BSc/MSc/PHD in – for example – Computer Science, Business Information, Mathematics, Engineering or other STEM.
• A strong team player with empathy, humility and dedication to joint success and shared development;
• Candidates must have significant practical project experience (professional, academic or personal) in lead data architect roles, able to demonstrate the following skills:
• Full lifecycle experience of scoping, managing and delivering data architecture solutions on cloud platforms (Azure, AWS, Snowflake, GCP or similar)- leading teams of data architects, data visualisation developers and data engineers to create modeling solutions which drive value;
• Strong commercial awareness through a deep understanding of business issues in specific sector, wider market trends and how data modelling can be used to develop sustainable value for the business;
• Experience of product or tech selection at project / enterprise level – able to clearly and confidently articulate the return on investment and benefits of each vendor to client stakeholders;
• Knowledgeable on the relevance and importance of data governance, data lineage, data quality, and master data management to data architecture in a modern data platform;
• A track record of delivering quality engagements for clients whilst establishing and growing productive partnerships with internal or external clients;

Technical skills required:

• Design expertise in core data architecture disciplines including data modelling (proficient in at least one data modelling tool e.g. Erwin), metadata management, data migration and master data management
• Well versed in data architecture approaches to ingest, model and serve data from various sources including ERP (Oracle, SAP etc.), CRM (Salesforce, etc.) and HR systems (Workday etc) including
• Practical knowledge of core data ETL and visualisation skills- for example using non structured and structured storage and database solutions native to the cloud providers, ETL tools (e.g. Snaplogic, Alteryx) & PowerBI/Tableau/Qlik
• Advanced technical skills, in one or more of the following areas: Master Data Management tools such as Informatica, writing API specs in JSON and integrating with tools such as MuleSoft.

Subject matter expertise:

Proven experience in applying data architecture tools and techniques in at least one of the following areas:

• Enterprise wide data architecture and modelling
• Business tooling based architecture and modelling (CRM, ERP) and integration architecture for data across heterogeneous applications
• Reporting on Data Analytical architecture and modelling

“Nice to have” skills for this role:

• Experience in Agile delivery and Agile techniques, such as Scrum and Kanban
• Certifications in Data Architecture (e.g. TOGAF / Cloud Certifications)
• Experience working with clients to develop data strategies for business transformation, such as designing a Data/Analytics Operating model, Information Governance organisation, or exploring the shift to cloud native 3rd party solutions