architect ii Work, Jobs in heage, dby (with Salaries)

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Data Engineering & Agentic AI Architect (Data Architect II)

UST Global -
Nottingham

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Job details

11 days ago

Qualifications

Cloud architecture
Spark
Test automation
AWS
Data pipeline
S3
Apache
AI
Python

Full job description

ID: 59186

4 Openings

Nottingham

Role description

Data Engineering & Agentic AI Architect

UST are currently recruiting for a permanent Data Architect with experience working with Agentic AI to work with one of our clients on AI transformation project.

Location-London

Hybrid- 3 days per week in the office

About this role

The successful candidate will shape the technical direction of large, complex Data & Digital Transformation programmes and delivering engineering Agentic AI systems at scale, to unlock Transformation pace, quality and impact - leaving behind something that stands the test of time?

You will be undertaking a monumental Transformation to unlock organisational pace and Data agility, moving to a scalable Cloud Data architecture centred around AWS Glue (Apache Spark) & Apache Airflow, with a key focus on re-engineering numerous complex Data pipelines to the new framework by leveraging Agentic AI, all whilst embedding great Data Management to build deep trust in Data.

We're looking for a Staff-level Data & Agentic AI engineer to join the programme - driving the agentic AI based conversion framework & Data pipeline modernisation, partnering across a Senior team of hands on Data Engineers, and driving the programme to completion with the quality and rigour that the Data engineering organisation can own and easily maintain into the future.

What you’ll do

Shape the technical direction for the Data pipeline modernisation and re-engineering programme:

Define architecture, standards, engineering approach, and testing framework
Ensure coherence across all workstreams from discovery through to validated delivery

Architect and build the Claude Code agentic workflow:

Parse existing data movement pipelines and logic
Generate equivalent PySpark transformations
Produce Airflow DAGs
Operate, iterate, and scale across the full data pipeline estate

Ensure rigorous creation and management of the PySpark data processing layer within AWS Glue:

Support data pipeline re-engineering
Ensure performance, standardisation, and cost efficiency

Design, write, and refine prompt architecture and context management logic:

Govern Claude Code’s output
Ensure consistent conformance to the target framework across complex conversions

Build automated test harnesses:

Validate functional equivalence between existing and new pipelines
Ensure business logic is preserved throughout modernisation

Develop structural validation and static analysis tooling:

Evaluate AI-generated output for correctness
Minimise hallucination risks
Ensure zero technical debt in modernised pipelines

Lead and coordinate engineering team efforts:

Align technical direction
Resolve architectural ambiguity
Maintain delivery momentum in a fast-paced programme

Build and maintain stakeholder relationships:

Engage senior leadership
Clearly translate progress, AI output quality, and technical risks

Enable automated, high-quality documentation:

Cover both platform and data pipelines
Define SLOs and data producer/consumer agreements
Leverage AI to improve documentation and delivery speed

Design for maintainability and transferability:

Ensure frameworks, workflows, and pipelines are fully ownable post-programme
Treat handover quality as a first-class engineering deliverable

What we’re looking for

Proven experience setting technical direction and architectural standards on complex, multi-workstream programmes
Hands-on capability to build solutions as well as design them
Deep expertise in Python and PySpark:

Strong track record delivering large-scale distributed data systems

Experience with Claude Code or similar agentic AI platforms:

Prompt engineering
Context management
Workflow design for scalable automated code generation in regulated environments

Strong hands-on experience with AWS ecosystem:

AWS Glue, S3, and related data platforms (e.g. Snowflake)

Strong experience with Apache Airflow and DAG-based orchestration
Experience designing configuration-driven frameworks:

Using YAML or JSON

Experience building automated testing for data pipelines:

Functional equivalence testing
Regression testing

Proven technical leadership:

Ability to influence without authority
Align senior engineers across data and AI domains

Experience working in large, regulated enterprise environments:

Navigate governance
Build trust while maintaining pace

Strong business acumen:

Ability to communicate technical concepts, risks, and delivery status to senior stakeholders

Experience designing for maintainability and handover:

Build systems and documentation for long-term ownership by others

Skills

apache airflow,python,pyspark,claude code,

About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

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architect ii jobs in heage, dby

Data Engineering & Agentic AI Architect (Data Architect II)

Data Architect – AI & Modern Data Platforms (Data Architect II)

Governance Architect – AI & Data (Data Architect II)

AI Engineering Architect -Agentic AI & Data Platforms(Data Architect II)

AWS Platform Architect (AI & Data Platform) (Data Architect II)

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