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Data Architect

Hybrid - Hatfield - Cloud Data Platforms (Snowflake, Databricks, Synapse) -£60,000-£80,000 + Excellent Benefits



Be part of a major data transformation that's shaping the future of how information drives decisions. This is your opportunity to influence enterprise-level data strategy and define how data is governed, modelled, and leveraged across a complex organisation. You'll thrive in a collaborative, forward-thinking environment that champions innovation, architectural excellence, and continuous learning. Expect exposure to diverse and impactful domains - from operational performance and customer experience to regulatory compliance and sustainability initiatives.



You'll Work With:

* Designing conceptual, logical, and physical data models for operational, analytical, and regulatory workloads.
* Creating data architecture blueprints and defining modelling patterns (3NF, star schema, Data Vault).
* Embedding data quality and governance into pipelines and ensuring compliance with lineage, retention, and security policies.
* Leading architectural discovery, managing stakeholder alignment, and producing high-quality design artefacts.
* Overseeing delivery, providing technical guidance, and coaching teams on best practices.



Benefits:

* Salary: £60,000-£80,000
* Hybrid working - minimum 2 days in Hatfield office
* 26 days annual leave (plus option to buy 5 extra days)
* Celebration Day + public holidays
* Double match pension scheme (up to 12% company contribution)
* Enhanced family leave policies & carers leave
* Wellbeing Centre access
* Up to 4 volunteer days per year
* Life Assurance



Key Experience:

* Proven experience as a Data Architect or senior data professional.
* Expertise in data modelling (conceptual, logical, physical) and governance frameworks.
* Hands-on experience embedding data quality into pipelines.
* Familiarity with cloud data platforms (Snowflake, Databricks, Synapse, BigQuery).
* Ability to produce high-quality architectural artefacts and manage stakeholder complexity.
* Experience in regulated sectors is advantageous.



Ready to shape the future of data?
Apply now- don't miss out on this opportunity to make an impact!

-Senior AWS Architect - Contract Role | Gothenburg, Sweden



Key Details:



-Role: Senior AWS Architect

-Location: Gothenburg, Sweden

-Type: Contract

-Language Requirement: Fluent Swedish (essential)

-Start Date: ASAP



What You'll Do:



-Design and implement scalable, secure AWS cloud solutions.

-Collaborate with stakeholders to define architecture strategies.

-Ensure best practices for cloud governance and cost optimization.

-Lead technical workshops and mentor junior team members.



What We're Looking For:



-Proven experience as an AWS Architect in enterprise environments.

-Strong knowledge of AWS services, security, and automation.

-Excellent communication skills in Swedish and English.

-Ability to work independently and deliver high-quality solutions.

We are representing a well established consumer brand undergoing a major AI transformation initiative.

The organization is designing and standing up a next generation, AI ready data platform on AWS, with Snowflake at the core. They are looking for a professional who will take ownership of the platform as the external advisory engagement transitions, ultimately becoming the internal Data Platform Lead.

This is not a "ticket taking" data engineering role. This is a build, architect, and own mandate.

The business is investing heavily in foundational data capabilities to support:

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GenAI enablement
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Revenue management and pricing optimization
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Marketing analytics
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Retail and consumer insights
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Enterprise data modernization

You would be stepping in at a critical inflection point, helping shape the long term data and AI backbone of the organization.

What You'll Be Doing:

Platform Ownership

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Build and scale ingestion pipelines and core platform foundations
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Own architecture, governance, reliability, and scalability
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Enhance and mature the medallion architecture
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Implement Snowpark based compute models

Engineering Execution

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Develop within Snowflake (Snowpark, Snowpipe, streaming)
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Leverage AWS core data and compute services
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Drive transformations with dbt
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Integrate marketing, retailer, Nielsen, and consumer behavior data sources
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Use Fivetran for ingestion workflows
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Manage infrastructure as code via Terraform
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Maintain version control standards via GitHub

Strategic Impact

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Translate business use cases into scalable platform components
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Advise leadership on what should or should not be built, and why
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Act as the internal SME across Snowflake and AWS data engineering
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Partner with business stakeholders and product owners
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Lead knowledge transfer and transition planning from consulting to in house

This individual will ultimately lead the internal data platform function and collaborate closely with a separate application engineering team.

What We're Looking For

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Strong hands on Snowflake experience, including Snowpark and advanced ingestion patterns
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Deep AWS data platform expertise
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Experience building and scaling enterprise data platforms end to end
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Architecture level thinking, not just pipeline development
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Experience supporting analytics and AI use cases
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Strong stakeholder engagement and communication skills
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Ability to operate independently and define standards





Weekly visits to the office in New York are strongly preferred

Data Architect

24‑Month Fixed Term Contract
£60,000-£80,000
Hatfield (Hybrid, 2 days per week onsite)

As the first Data Architect in the function, you will set the standard for data architecture across the organisation. You
Technical Environment

Current in‑house technologies include:
* Redshift Data Lake
* Talend
* Oracle
* QlikView

You will also need working knowledge of modern data technologies such as Snowflake, Databricks, Synapse or similar.

What We're Looking For
* Strong data modelling expertise
* Proven experience designing and delivering data architecture
* Ability to operate hands‑on while also shaping strategy at C‑level
* Confident working across multiple projects and engaging with diverse stakeholders
* Someone who can deliver quickly and effectively without extensive onboarding

Additional Details
* 24‑month FTC
* Hybrid working: 2 days per week onsite in Hatfield
* Benefits included
* Candidates must be immediately available with no notice period

We are a specialist Data & AI staffing partner representing a boutique Data and AI consulting firm that has been engaged by a Fortune 500 enterprise to deliver a large scale Databricks implementation.

Due to increased delivery demand, our client is seeking a Lead Databricks Architect to take ownership of architecture and technical direction across the program. This consultant will play a key role in shaping the platform, leading delivery teams, and acting as a senior technical authority for both the consulting firm and the end client.

Role Overview

This is a hands on, senior level contract role where you will lead Databricks architecture decisions, guide engineering teams, and work directly with client stakeholders to ensure successful delivery of agreed SOWs and milestones.

Key Responsibilities

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Lead the design and implementation of enterprise grade Databricks Lakehouse architectures
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Act as the senior technical authority across the Databricks platform
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Partner closely with Fortune 500 client stakeholders, architects, and data leaders
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Define architectural standards, patterns, and best practices
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Provide technical leadership and mentorship to Data Engineers and Analytics Engineers
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Ensure scalability, performance, security, and cost optimization are built into the platform
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Support roadmap planning, architectural decision making, and documentation
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Troubleshoot complex platform and data challenges as they arise



Required Experience

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Proven experience leading Databricks implementations at enterprise scale
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Strong hands on Databricks expertise, including Spark, Delta Lake, and Databricks SQL
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Deep understanding of Lakehouse architecture patterns
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Prior experience working with Fortune 500 or large enterprise environments
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Strong cloud background in AWS, Azure, or GCP
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Advanced Python and SQL skills (Scala is a plus)
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Experience working in consulting or professional services environments
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Strong stakeholder management and communication skills



Preferred / Nice to Have

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Databricks certifications (Architect or Professional level)
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Experience with Unity Catalog, data governance, or security frameworks
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Background leading multi team or multi workstream delivery programs