Presales Lead - Data Modernisation & Data Platforms

We’re hiring a Presales Lead – Data Modernisation & Data Platforms for a global IT service provider based in the Uk/ Amsterdam/ Germany

Lead presales and solutioning for large-scale data modernisation and data platform transformation deals across the Americas

Own the end-to-end solution strategy for data warehouse modernisation, data platforms, and governance, combining deep technical expertise (Databricks, Snowflake, GCP) with strong business storytelling to win strategic deals.

15–20+ years in Data & Analytics with strong presales experience.

Key Responsibilities

1. Deal Leadership & Presales Ownership

• Lead end-to-end presales for data modernisation opportunities (RFPs, proactive deals, strategic pursuits).
• Shape large, multi-year transformation deals (Data Warehouse → Lakehouse → AI-ready platforms).
• Own solution design, costing, and commercial articulation.
• Partner with sales to convert pipeline into wins.

2. Data Modernisation Solutioning

• Define architectures for legacy DW modernisation (Oracle, Teradata, Netezza → Snowflake / Databricks / BigQuery).
• Drive lakehouse and data platform transformation strategies.
• Lead code conversion, re-platforming, and optimisation approaches.
• Leverage AI-assisted modernisation techniques.

3. Data Governance & Enterprise Data Strategy

• Design governance frameworks (quality, lineage, catalog, privacy).
• Implement domain-driven data products and architectures.
• Integrate governance with modern platforms (Unity Catalog, Snowflake governance, GCP Dataplex).

4. Platform Expertise & Architecture Leadership

• Deep expertise in Databricks, Snowflake, and GCP (BigQuery, Dataproc, Dataflow).
• Define reference architectures and accelerators.
• Guide platform strategy (multi-cloud vs single-cloud).

5. Thought Leadership & Market Positioning

• Publish POVs, whitepapers, and solution frameworks.
• Lead client workshops and executive sessions.
• Translate trends into enterprise solutions (Lakehouse, Data + AI, FinOps).

6. Client Advisory

• Engage with CIO/CDO/CTO stakeholders.
• Advise on strategy, migration approaches, and ROI.
• Lead architecture deep dives and solution walkthroughs.

7. Collaboration & Capability Building

• Work with delivery and partner teams to industrialise solutions.
• Build reusable assets and accelerators.
• Mentor presales and architecture teams.

Required Skils & Experience

• 15–20+ years in Data & Analytics with strong presales experience.
• Track record of winning large transformation deals ($5M–$50M+).
• Expertise in data warehouse modernisation and lakehouse architectures.
• Hands-on exposure to Databricks, Snowflake, and GCP.
• Experience with legacy systems (Oracle, Teradata, ETL tools).
• Strong ability to translate architecture into business value.

Preferred Qualifications

• Experience in consulting or system integrators.
• Exposure to AI/ML integration with data platforms.
• Certifications in Databricks, Snowflake, or GCP.

Success Criteria

• Consistently wins strategic data modernisation deals.
• Builds strong C-level credibility.
• Creates reusable solution patterns and accelerators.
• Positions organisation as a leader in modern data platforms.