Databricks: Deployment Strategist — Remote - India

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Deployment Strategist in Remote - India, under reference 8637736002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Professional Services Operations
• Employer listing date: 30 July 2026

Responsibilities and work described

• C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline
• End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester
• Translate business requirements into clear data, integration, security, and operational requirements that engineers can build against
• Technical Solution Leadership & Delivery: Drive the FDE build team through an agile delivery process, manage stakeholders from the C-suite to individual engineers, and unblock technical or organizational issues
• Leadership: technical discovery and design reviews
• Understand the customer's data flows, integrations, platform constraints, and operational environment; pressure-test architecture choices; and identify technical risks early
• Solution Launch & Landing: Own the "Day 0" launch, manage the war room, and drive the solution from launch to full adoption by capturing user feedback, iterating, and proving the defined business value
• Own production readiness across data quality, testing, security, performance, and operations
• Work: with the team to diagnose issues and drive them to resolution
• Strategic Handoff & Growth: Scope the ongoing maintenance plan, create customer documentation/training, and leverage your trusted advisor status to identify the next high-value FDE engagement
• Codify reusable solution patterns and bring field insights back to Product and Engineering

Essential requirements and candidate background

• Executive Presence & Communication: You are a trusted advisor with executive presence and communication skills
• You are confident and humble, can build rapport quickly, and can help senior stakeholders make difficult decisions
• Product Judgment & Delivery: You can define what to build and why, write product requirements, prioritize engineering work, manage scope, and lead complex agile software projects from an ambiguous problem to a measurable outcome
• Technical Fluency & Architecture Judgment: You understand modern data and AI architectures, including cloud platforms, data pipelines, data models, distributed systems, APIs, security and governance, machine learning, and generative AI application patterns
• You can lead architecture discussions, evaluate trade-offs, and pressure-test technical decisions
• Hands-on Technical Ability: You are proficient in at least one language such as Python, Java, or SQL
• You can explore data, work in notebooks, read and review code and pipelines, build or adapt prototypes, and contribute meaningfully to troubleshooting
• Relevant
• Typically 7+ years of experience delivering complex, customer-facing data, analytics, AI, or software engagements, or equivalent experience as a founder or technical builder
• You have helped deliver data, machine learning, or generative AI systems into production and understand the integration, operational, and adoption challenges that appear in real environments
• Experience: a high-growth technology company, forward-deployed organization, or leading consultancy is valuable
• You enjoy working onsite with customers (often 25-50%, sometimes higher) to drive delivery

Location, schedule and contract conditions

• Work arrangement: Remote
• Advertised location: Remote - India

Benefits mentioned by the employer

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
• For specific details on the benefits offered in your region click here

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Deployment Strategist vacancy is not an offer for reference 8637736002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8637736002.

Compare your qualifications and experience with the essential conditions for the Remote - India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Java
• SQL
• APIs
• AI/ML
• Excel
• machine learning
• AI
• embedded systems
• maintenance