Data Architect

TECHNEST TALENT LTD; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

TECHNEST TALENT LTD is seeking an experienced Data Architect to support a Data Strategy Discovery for a telecom client. You will assess the current landscape (GCP BigQuery Data Lakehouse) and shape the target architecture, governance, and technology roadmap.

You will lead interviews with business and tech teams, document data flows, assess data quality, and contribute to ontology design for AI/analytics while using Python and LLMs to automate analysis where appropriate.

Qualifications

• 5+ years in data architecture, data strategy or consulting/advisory.
• Strong GCP / BigQuery and Data Lakehouse experience.
• Strong knowledge of data modelling, ETL/ELT, data integration, migration and architecture.
• Understanding of data governance, metadata, lineage, MDM and data quality.
• Strong analytical skills across systems, data, processes and frameworks.
• Experience building tools/processes using Python and LLMs.
• Strong client-facing and stakeholder management experience, ideally at Architect, Analyst or DBA level.
• Telecom or complex enterprise experience highly desirable.
• Experience with wider GCP services, AI/ML data enablement and hybrid cloud migration would be advantageous.

Responsibilities

• Lead/support stakeholder interviews and workshops across business and technical teams.
• Assess and document the current data landscape, platforms, systems, integrations and data flows.
• Catalogue databases and data sources, identifying silos, duplication and data quality issues.
• Assess the existing GCP/BigQuery Data Lakehouse, architecture, scalability and integration patterns.
• Evaluate data governance, ownership, metadata, lineage, MDM and data quality.
• Develop current-state assessments, architecture diagrams, data inventories and maturity assessments.
• Define the high-level target data architecture, technology stack and governance framework.
• Contribute to data ontology design for AI/analytics use cases and the overall data strategy roadmap.
• Present findings and recommendations to senior client stakeholders and support stakeholder sign-off.
• Use Python and LLMs where appropriate to automate analysis and build data/process tools.

Skills

Data architecture

Data strategy

Consulting

Stakeholder management

Python

LLMs

GCP BigQuery

Data governance

ETL/ELT

Data modelling

Hybrid cloud

Tools

GCP

BigQuery

ETL tooling

Data integration

Job description

We are looking for an experienced Data Architect to support a Data Strategy Discovery engagement for a telecommunications client, covering Customer, Finance and Network domains.The role will assess the current data landscape, including an existing GCP BigQuery Data Lakehouse, and help define the target architecture, technology roadmap and governance framework.

Key Responsibilities

• Lead/support stakeholder interviews and workshops across business and technical teams.
• Assess and document the current data landscape, platforms, systems, integrations and data flows.
• Catalogue databases and data sources, identifying silos, duplication and data quality issues.
• Assess the existing GCP/BigQuery Data Lakehouse, architecture, scalability and integration patterns.
• Evaluate data governance, ownership, metadata, lineage, MDM, security and compliance.
• Develop current-state assessments, architecture diagrams, data inventories and maturity assessments.
• Define the high-level target data architecture, technology stack and governance framework.
• Contribute to data ontology design for AI/analytics use cases and the overall data strategy roadmap.
• Present findings and recommendations to senior client stakeholders and support stakeholder sign-off.
• Use Python and LLMs where appropriate to automate analysis and build data/process tools.

Skills & Experience

• 5+ years in data architecture, data strategy or consulting/advisory.
• Strong GCP / BigQuery and Data Lakehouse experience.
• Strong knowledge of data modelling, ETL/ELT, data integration, migration and architecture.
• Understanding of data governance, metadata, lineage, MDM and data quality.
• Strong analytical skills across systems, data, processes and frameworks.
• Experience building tools/processes using Python and LLMs.
• Strong client-facing and stakeholder management experience, ideally at Architect, Analyst or DBA level.
• Telecom or complex enterprise experience highly desirable.
• Experience with wider GCP services, AI/ML data enablement and hybrid cloud migration would be advantageous.