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We are seeking an experienced Lead Data Architect to join our Data & AI practice. The ideal candidate will have over 8 years of data architecture experience, expertise in cloud-native architecture, and a strong background in data governance. This role involves leading client engagements, defining architectural frameworks, and collaborating with cross-functional teams. A Bachelor's degree in Computer Science or a related field is required. Join us in shaping data-driven businesses and thrive in a collaborative environment.
Job Responsibility:
Input into and drive the creation of go-to-market propositions and services in Data Architecture
Support client partners and practice leads in pre-sales activities
Lead complex client engagements
Act as a go-to practitioner in delivering projects in the Data Architecture field
Data Architecture Frameworks
Defining end-to-end Data Architectures
Leading and developing architecture teams
Joining the dots between Business, Technology and Data architectures
Input into the shaping of Data Architecture engagements
Deliver Data Architecture engagements with/ for our clients
Remain up to date with the continuous evolution in the Data Architectures and ensure that this knowledge is made available to the wider Data & Intelligence practice
Requirements:
8+ years data architecture experience - Enterprise-scale solutions across multiple sectors with proven delivery track record
Cloud-native architecture expertise - Hands-on experience with AWS/Azure/GCP, data lakes, real-time streaming, and infrastructure-as-code
Full data lifecycle mastery - End-to-end expertise from ingestion to consumption, including governance, security, and both batch/real-time processing
Business-technology translation - Ability to align data strategy with business objectives and communicate across all stakeholder levels
Presales & business development experience - Track record supporting opportunity qualification, bid reviews, proposal development, and client-facing sales activities
Must be eligible for SC clearance
Minimum of 5 years years experience in data, consulting, analytics or a related function involving quantitative data analysis to solve problems
University Degree, BSc in Computer Science, Information Management, or Information Technology
Nice to have:
Multi-platform technology stack - Experience with Snowflake, Databricks, modern ETL/ELT tools, and relevant certifications (SnowPro, AWS/Azure Data)
Data governance & compliance - Strong background in security frameworks, regulatory compliance (GDPR), data lineage, and quality management
AI/ML integration capabilities - Experience with MLOps, analytics platforms, and integrating AI/ML into data architectures
Technical leadership at scale - Leading 15+ person cross-functional teams and serving as technical escalation point for C-level stakeholders
Agile delivery & thought leadership - Proven agile/hybrid delivery experience with contribution to practice growth through proposition development and knowledge sharing
What we offer:
Tailored benefits that support your physical, emotional, and financial wellbeing