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About the Role

As a Data Architect, you will architect and deliver modern cloud data platforms, focusing on Snowflake and/or Databricks. You will collaborate with customers to design, assess, optimize, and modernize enterprise data ecosystems, ensuring scalability, security, cost-effectiveness, and adherence to best practices. You will serve as a trusted technical advisor, leading the architecture of data platforms for advanced analytics, AI/ML, data sharing, and operational reporting, working across the full project lifecycle to define target-state architectures, data models, governance frameworks, and integration patterns.

Responsibilities

Act as the lead architect for Snowflake and Databricks-based data platforms, defining architecture roadmaps and ensuring alignment to customer business objectives.
Design and optimize Snowflake environments, including data sharing, secure data access, data warehouse design, performance tuning, governance, and cost optimization.
Design and implement Databricks lakehouse architectures, supporting large-scale data engineering, streaming, analytics, AI, and machine learning workloads.
Evaluate existing data estates and develop migration strategies to modern cloud data platforms, including Snowflake and Databricks.
Develop enterprise data models, Lakehouse architectures, medallion data architectures, and data platform standards.
Define scalable patterns for data ingestion, transformation, orchestration, and integration across cloud and hybrid environments.
Partner with data engineers, analysts, cloud architects, security teams, and customer stakeholders to deliver high-quality data solutions.
Establish and enforce governance frameworks covering data quality, lineage, metadata management, access controls, and regulatory compliance.
Produce and maintain architecture artefacts, standards, patterns, and technical documentation.
Guide customers on emerging technologies including AI, ML, GenAI, and advanced analytics leveraging Snowflake and Databricks capabilities.
Proven experience in multi-cloud architecture across AWS and Azure, designing and integrating modern data solutions with cloud-native services to deliver scalable, secure, and business-aligned outcomes.

Requirements

Strong understanding of modern data platform architecture, including Snowflake Data Cloud and/or Databricks Lakehouse Platform.
Strong knowledge of cloud-native data architectures across Azure and AWS.
Strong understanding of data governance, security, metadata management, and data lifecycle management.
Understanding of AI/ML data requirements and modern analytics platforms.
Knowledge of big data processing frameworks and distributed computing concepts.
Awareness of emerging capabilities in data sharing, data products, and data mesh architectures.
Proven experience as a Data Architect delivering enterprise-scale cloud data platforms.
Significant hands-on experience designing and implementing solutions using Snowflake and/or Databricks.
Experience architecting lakehouse, data warehouse, and hybrid analytical platforms.
Experience defining migration strategies from legacy data platforms to Snowflake or Databricks.
Proven expertise in data modelling, interoperability standards, and enterprise integration patterns.
Experience implementing data governance, lineage, security, and compliance controls within modern data platforms.
Experience leading architecture decisions across complex stakeholder environments.
Strong understanding of data pipelines, ETL/ELT frameworks, orchestration tooling, and data engineering best practices.
Familiarity with technologies such as Spark, Python, SQL, Delta Lake, Unity Catalog, dbt, Azure Data Factory, Airflow, Kafka, or equivalent tooling.
Relevant certifications such as Snowflake SnowPro, Databricks Certified Data Engineer, or cloud platform certifications would be an advantage.
Strong communication, consulting, and stakeholder management skills.
Ability to influence senior technical and non-technical audiences on data platform strategy.
Experienced in developing design documentation and option papers, guiding solutions through formal governance processes, and presenting proposals to architecture and governance boards (including TDAs) to secure approval and alignment.
Strong analytical and problem-solving capabilities.
Ability to translate business requirements into scalable Snowflake and Databricks architectural solutions.
Passion for promoting data as a strategic asset and enabling data-driven decision making.
Ability to mentor engineers and architects while contributing to technical leadership within delivery teams.
Experience balancing performance, security, scalability, and cost optimisation within cloud data platforms.
Eligible for security clearance.
Must be a British Citizen.
Must have lived permanently in the UK for the last 5 years.

Skills

Snowflake
Databricks
AWS
Azure
Data Modelling
Data Governance
Data Security
Metadata Management
Data Lifecycle Management
AI/ML
Big Data Processing
Distributed Computing
Data Sharing
Data Products
Data Mesh Architectures
Lakehouse Architecture
Data Warehouse Architecture
Hybrid Analytical Platforms
Migration Strategies
Enterprise Integration Patterns
Data Pipelines
ETL/ELT
Orchestration Tooling
Data Engineering
Spark
Python
SQL
Delta Lake
Unity Catalog
dbt
Azure Data Factory
Airflow
Kafka
Communication
Consulting
Stakeholder Management
Influencing
Problem-Solving
Mentoring
Technical Leadership

Location

Client Site

Work Type

Hybrid
Full-time

Experience Level

Senior

About the Company

CACI Information Intelligence Group is a community of dedicated engineers delivering cutting-edge data solutions for public sector customers across Central Government, Defence, National Security, Critical National Infrastructure and Law Enforcement.