Presales Director

Location

US or Canada (Flexible)

Role Purpose

Looking for a Lead presales and solutioning for large-scale data modernization and data platform transformation deals across the Americas. Own the end-to-end solution strategy for data warehouse modernization, data platforms, and governance, combining deep technical expertise (Databricks, Snowflake, GCP) with strong business storytelling to win strategic deals.

Key Responsibilities

1. Deal Leadership & Presales Ownership

· Lead end-to-end presales for data modernization 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 Modernization Solutioning

· Define architectures for legacy DW modernization (Oracle, Teradata, Netezza → Snowflake / Databricks / BigQuery).

· Drive lakehouse and data platform transformation strategies.

· Lead code conversion, re-platforming, and optimization approaches.

· Leverage AI-assisted modernization 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 industrialize solutions.

· Build reusable assets and accelerators.

· Mentor presales and architecture teams.

Required Skills & Experience

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

· Track record of winning large transformation deals ($5M–$50M+).

· Expertise in data warehouse modernization 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 modernization deals.

· Builds strong C-level credibility.

· Creates reusable solution patterns and accelerators.

· Positions organization as a leader in modern data platforms.