Sr. Manager - BFSI, Field Engineering

Databricks
Mumbai
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Leadership","Team management","Communication","Stakeholder management","Coaching"]

Lead and grow a Field Engineering team of Solutions Architects in Data & AI for large banking/financial services accounts in India. Build and scale pre-sales capabilities, mentor engineers, drive value-based solutions, and collaborate with executives to expand Databricks’ presence in India while enhancing ROI of field engineering in sales cycles.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Databricks
Databricks
2 months ago

Sr. Manager - BFSI, Field Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Lead and grow a Field Engineering team of Solutions Architects in Data & AI for large banking/financial services accounts in India. Build and scale pre-sales capabilities, mentor engineers, drive value-based solutions, and collaborate with executives to expand Databricks’ presence in India while enhancing ROI of field engineering in sales cycles.
Location: Mumbai
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead and mentor the Solutions Architect team to understand customer needs and identify revenue opportunities in strategic accounts
  • •Build and scale the pre-sales team in the Data & AI domain while maintaining calibre and collaboration across the organization
  • •Interface with leadership and C-suite stakeholders at strategic customers to position Databricks strengths and drive trust
  • •Drive a value-based selling approach within the field engineering organization and promote data-driven decision making
  • •Contribute to planning and strategy by bringing field engineering priorities and feedback to the roadmap

Key Requirements

  • •6+ years experience in a pre-sales / consulting / customer facing managerial role: developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals
  • •6+ years experience in Big Data Architecture incorporating components of Data Engineering / Data Warehouse / Machine Learning / Data Science
  • •Experience working with strategic Banking / Financial Services / Digital Enterprise accounts generating +$1M ARR
  • •Experience in scaling and mentoring field and technical teams managing both in-person and remote working models
  • •Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
Experience:6+ yearsBanking & Financial ServicesBig DataCloudSaaSData & AI
Skills:LeadershipTeam managementCommunicationStakeholder managementCoaching
Languages:English
Tech Stack:Apache SparkDatabricksBig DataData EngineeringData WarehouseMachine Learning

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn