Cloud Data Architect, Senior Manager (Consulting)

Oliver James Associates Ltd.; London; On-site; GBP 100,000 - 110,000

Job description

Oliver James are partnered with a global consulting group in assisting their search for a Cloud Data Architect at Senior Manager grade to join their robust Technology & Data practice.

This role can sit in either London, Manchester or Leeds paying circa £100,000 - £110,000 plus a range of extras.

Our client's engagements sit across FTSE 100s, mid-market clients and government agencies; across a varied range of experiences, a supportive team and an exciting career working in technology, data and analytics.

This role will provide you with an opportunity to work across a portfolio of clients, with a focus on large and complex organisations in the Commercial sector.

What your days will look like:

1. Overseeing the architecture and delivery of data transformation projects with clients.
2. Working with clients to design the right architectural patterns for their business needs, which may include the designing of solutions such as a data lake or lakehouse.
3. Assisting clients in the selection of the right technology for their future data architecture which could include the core data platform, pipeline architecture, and governance tooling.
4. Oversight and leadership of data transformation projects from a technical perspective to ensure the right solution is implemented with the correct controls and quality.
5. Building and managing client relationships including with C-level staff, Heads of Data and Analytics, IT and Data Architects, and other business stakeholders during the lifecycle of a project.

Experience required across:

1. Cloud-based data lakes and data platform solutions with the likes of Databricks, Azure, AWS, or Snowflake.
2. Data modelling - the ability to design and implement data models from conceptual through to physical which could include slowly changing dimensions or single customer views.
3. Experience in the various approaches to ingest data (ETL vs ELT) from different sources such as direct connect and APIs.
4. Experience in designing the infrastructure elements of a cloud platform including the setup and implementation of DevOps, networking, and security elements.
5. Strong business acumen in relation to Analytics, having had experience within at least one business area function (e.g., Marketing, Sales, Finance, Workforce, Procurement, etc.).