Job Role: Data Architect

Working Structure

Hybrid (Regular visits to client site)

Career Grade

Senior Technical Consultant

The role

As a Data Architect at CACI Information Intelligence Group, you will join a community of dedicated engineers delivering cutting-edge data solutions for our public sector customers across Central Government, Defence, National Security, Critical National Infrastructure and Law Enforcement.

This role is focused on architecting and delivering modern cloud data platforms, with particular emphasis on Snowflake and/or Databricks. You will work directly with customers to design, assess, optimise, and modernise enterprise data ecosystems, ensuring they are scalable, secure, cost-effective and aligned with industry best practices.

You will act as a trusted technical advisor, leading the architecture of data platforms that enable advanced analytics, AI/ML workloads, data sharing, and operational reporting. Working across the full project lifecycle, you will define target-state architectures, data models, governance frameworks, and integration patterns, whilst ensuring alignment with security, compliance and operational requirements.

As a Data Architect, continuous professional development is a key part of your growth. You will be expected to maintain deep expertise in modern data technologies, particularly Snowflake and Databricks, and help shape both customer and internal data strategies.

Clearance Requirements

Due to the industries this role will be associated with, we require the successful candidate to be eligible for security clearance. To qualify for this, you must be a British Citizen and have lived permanently in the UK for the last 5 years.

Responsibilities

• Platform Architecture Leadership: Act as the lead architect for Snowflake and Databricks-based data platforms, defining architecture roadmaps and ensuring alignment to customer business objectives.
• Snowflake Architecture: Design and optimise Snowflake environments, including data sharing, secure data access, data warehouse design, performance tuning, governance, and cost optimisation.
• Databricks Architecture: Design and implement Databricks lakehouse architectures, supporting large-scale data engineering, streaming, analytics, AI, and machine learning workloads.
• Assessment & Modernisation: Evaluate existing data estates and develop migration strategies to modern cloud data platforms, including Snowflake and Databricks.
• Data Modelling & Design: Develop enterprise data models, Lakehouse architectures, medallion data architectures, and data platform standards.
• Integration & Engineering: Define scalable patterns for data ingestion, transformation, orchestration, and integration across cloud and hybrid environments.
• Collaboration: Partner with data engineers, analysts, cloud architects, security teams, and customer stakeholders to deliver high-quality data solutions.
• Governance & Security: Establish and enforce governance frameworks covering data quality, lineage, metadata management, access controls, and regulatory compliance.
• Documentation: Produce and maintain architecture artefacts, standards, patterns, and technical documentation.
• Future Technology: Guide customers on emerging technologies including AI, ML, GenAI, and advanced analytics leveraging Snowflake and Databricks capabilities.