Data Architect
Posted 2 weeks ago by Qualient Technology Solutions UK Limited
Negotiable
Undetermined
Undetermined
London
Summary: The Data & AI Technical Lead will spearhead the Discovery & Design phase of a significant M&A program for a Retail & CPG client, guiding the technical direction across a multi-cloud data landscape. This role involves overseeing senior Data Architects to ensure alignment and quality in architecture while acting as a liaison between stakeholders and IT teams. The position requires a blend of technical expertise, leadership, and strategic insight to drive successful data integration and platform engineering initiatives.
Key Responsibilities:
- Lead the technical direction of a large-scale M&A program.
- Oversee and guide senior Data Architects to ensure architectural alignment and technical quality.
- Act as a liaison between client stakeholders, IT teams, and the Chief Data Office.
- Drive the Discovery & Design phase of the program.
- Ensure business relevance in technical execution.
Key Skills:
- 15+ years in Data & Analytics, with 5+ years in leadership roles.
- Strong hands-on experience with Azure cloud, AWS cloud, and GCP.
- Deep expertise in Databricks and Snowflake.
- Strong understanding of data architecture patterns and data integration patterns.
- Proven experience in M&A data integration and platform consolidation.
- Experience managing or leading senior architects or technical teams.
- Strong communication skills with the ability to influence C-level stakeholders.
- Experience in consulting or client-facing roles.
Salary (Rate): undetermined
City: London
Country: undetermined
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
We are seeking a Data & AI Technical Lead to drive the Discovery & Design phase of a large-scale M&A program for a Retail & CPG client. This role will lead the technical direction across a complex, multi-cloud data landscape spanning Azure, AWS, GCP, Databricks, and Snowflake. You will oversee and guide senior Data Architects, ensuring architectural alignment, technical quality, and business relevance. The role sits at the intersection of business strategy, data architecture, and platform engineering, acting as a key liaison between client stakeholders, IT teams, and the Chief Data Office.
Required Skills & Experience
Core Technical Expertise
- 15+ years in Data & Analytics, with 5+ years in leadership roles
- Strong hands-on experience across:
- Azure cloud, ADF, DevOps, Power BI, Fabric workspaces
- AWS cloud, S3, cross-cloud connectivity, API Gateways
- GCP (BigQuery, GCS, Dataflow)
- Deep expertise in:
- Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Sharing, Pyspark, Spark SQL etc.)
- Snowflake (data warehousing & data sharing, Iceberg, )
- Strong understanding of:
- Data architecture patterns, industry benchmarking,
- Data integration patterns (ETL/ELT, streaming, CDC, APIs)
- Data governance & metadata management
- Proven experience in M&A data integration, platform consolidation, or carve-outs
- Experience designing multi-cloud or hybrid data architectures
- Familiarity with enterprise architecture frameworks (TOGAF or equivalent)
- Experience managing or leading senior architects or technical teams
- Strong communication skills with the ability to influence C-level stakeholders
- Ability to bridge business strategy and technical execution
- Experience working in consulting or client-facing roles
Architecture & M&A Experience
Leadership & Stakeholder Skills