> Markdown version of [/jobs/ext/1409428-data-platforms-alliance-co-sell-lead-databricks-and-snowflake](https://www.wearedevelopers.com/jobs/ext/1409428-data-platforms-alliance-co-sell-lead-databricks-and-snowflake). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Platforms Alliance Co-Sell Lead - Databricks and Snowflake - **Company:** GlobalLogic - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $170,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, ARM Architecture, Microsoft Azure, Data Infrastructure, Data Transformation, Data Migration, Data Sharing, Machine Learning, Salesforce.Com, Google Cloud, Snowflake, Multi-Cloud, Generative AI, Data Lakes, Information Technology, Marketplace, Databricks - **Published:** July 23, 2026 - **Apply:** https://www.dice.com/job-detail/c4e8d76f-771b-4f3c-a979-6058a4145407 ## About the Role * 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 ## 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 * 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. * Coordinate with the hyperscaler alliance team on joint sales plays, particularly in accounts where multiple partner motions are running simultaneously * 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 * 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 * Executive presence: comfortable presenting to C-level buyers, partner field leadership, and GlobalLogic senior stakeholders in the same week * Cross-functional influence: mobilizes delivery, presales, and marketing resources without direct authority * 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)