Data Platforms Alliance Co-Sell Lead - Databricks and Snowflake
Role details
Job location
Tech stack
Job description
Co-Sell Pipeline Generation & Execution:
- Own the US Databricks and Snowflake co-sell pipeline - from identification through close - operating as a revenue-accountable overlay alongside GlobalLogic account teams
- Register and manage deals in Databricks CoPilot and Snowflake Partner Portal; maintain accurate pipeline hygiene and stage progression in both systems
- Source net-new pipeline by working inbound from partner ecosystems (Databricks AEs, Snowflake field teams) and outbound through GL account mapping sessions
- Qualify co-sell opportunities by matching GL delivery capability to partner platform use cases: Databricks Data Intelligence Platform and Mosaic AI, Snowflake Cortex AI, and data migration
- Participate in joint customer-facing conversations as the alliance subject matter expert, bridging partner platform positioning and GL solution delivery
GlobalLogic Seller Activation
- Build and maintain a cadence with GlobalLogic US account executives and delivery leaders to identify accounts where Databricks or Snowflake attach is a natural fit
- Run deal-specific enablement - not generic training - focused on how to position, qualify, and involve the partner in an active opportunity
- Create concise, deal-ready content: one-pagers, talk tracks, and objection-handling guides that GL sellers can use without needing alliance support on every call
- Track and report on seller activation coverage: which accounts have been mapped, which AEs have run co-sell conversations, and where the pipeline has resulted
Partner Field Relationship Management
- Maintain working relationships with Databricks and Snowflake field teams in the US - partner sales managers, alliance managers, and field AEs - focused on pipeline co-ownership, not program administration
- Participate in quarterly partner reviews with both Databricks and Snowflake to align on shared pipeline, co-sell metrics, and joint account priorities
- Escalate and resolve partner field issues (deal registration conflicts, co-sell attribution disputes, tier eligibility questions) in partnership with the India ops team
Revenue Attribution & Reporting
- Own the US Data & AI pipeline forecast - weekly, monthly, and quarterly - with clean data in Salesforce CRM and both partner portals
- Report sourced and influenced ACV for Databricks and Snowflake separately using GlobalLogic's standard alliance attribution methodology
- Contribute to monthly alliance dashboards and QBR materials in partnership with the India ops lead; ops builds the deck, and this role owns the accuracy of the underlying data
- Flag at-risk deals and conversion blockers early with specific proposed actions to unstick the stalled pipeline
Cross-Functional Collaboration
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Work with GlobalLogic's Data and Intelligence team to embed Databricks and Snowflake use cases in the Hyperscaler and Partner Marketplace listings and solution collaterals.
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Coordinate with the hyperscaler alliance team on joint sales plays, particularly in accounts where multiple partner motions are running simultaneously
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Provide partner ecosystem input into GlobalLogic's go-to-market planning for Data Modernization, AI/ML Engineering, and Generative AI service lines, * Revenue-first orientation: approaches partner relationships as a pipeline generation engine, not a relationship preservation activity
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Pipeline management discipline: maintains accurate deal data, forecasts with conviction, and flags risk early GL seller activation: runs deal-specific conversations with account executives without needing to own the customer relationship directly
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Executive presence: comfortable presenting to C-level buyers, partner field leadership, and GlobalLogic senior stakeholders in the same week
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Cross-functional influence: mobilizes delivery, presales, and marketing resources without direct authority
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Written and verbal communication: produces crisp, deal-ready materials without requiring extensive editorial support CRM discipline: maintains Salesforce pipeline hygiene as a standard operating behavior
Requirements
- 7+ years in partner sales, alliance management, or ISV co-sell roles at a technology services company, GSI, or systems integrator
- Demonstrated track record of carrying and meeting a partner-attached revenue number - sourced or influenced ACV - not just managing partner program compliance
- Direct experience with Databricks co-sell mechanics: CoPilot program, deal registration, and field alignment with Databricks AEs and Partner Sales Managers
- Hands-on knowledge of Snowflake's partner ecosystem: Select or Premier tier experience, Cortex AI positioning, and data migration attach plays preferred
- Experience activating internal sales teams on partner co-sell plays - coaching account executives on when and how to involve the partner, not just owning the partner relationship
Technical & Domain Knowledge:
- Sufficient depth in data platform and AI/ML concepts to qualify opportunities and lead credible conversations with technical buyers - you don't need to architect solutions, but you must identify the right use cases
- Familiarity with Databricks' core platform: Delta Lake, Unity Catalog, Databricks SQL, Mosaic AI, and the multi-cloud deployment model across AWS, Azure, and Google Cloud Platform
- Understanding of Snowflake's data cloud positioning, Cortex AI capabilities, data sharing architecture, and how Snowflake competes and coexists with Databricks in enterprise accounts
- Working knowledge of hyperscaler co-sell programs - Google Cloud Platform Partner Advantage, AWS ISV Accelerate, or Azure co-sell - to navigate multi-partner attach scenarios
- Understanding of GSI/ISV commercial models: influenced vs. sourced ACV, deal registration margin protection, and MDF funding mechanics, * Prior experience at a Databricks or Snowflake partner - either as an employee, an implementation partner, or in a co-sell alliance role
- Experience with ISV platform marketplace listings: Google Cloud Marketplace, AWS Marketplace, or Azure Marketplace
- Background in Data Modernization, AI/ML Engineering, or Generative AI services sales
- Experience in a PE-backed or fast-growth technology services environment with high commercial accountability
- Salesforce CRM proficiency and working knowledge of Databricks CoPilot and Snowflake Partner Portal, * Bachelor's degree in Business, Computer Science, Engineering, or a related field
- MBA or equivalent advanced degree preferred but not required; demonstrated commercial impact outweighs academic credentials for this role
- Databricks Accreditation (Partner Sales or Technical) or Snowflake partner certification is a plus