# Senior Manager, Field Engineering

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Sydney, Australia
**Role:** Sales Engineering
**Experience:** 8+ years
**Skills:** Big Data, Cloud Computing, SaaS, Data Engineering, Databases, Data Science, Artificial Intelligence, Solutions Architecture, Data Analytics, Customer Engagement
**Posted:** 2026-08-14

> Leads a regional pre-sales Solutions Architect team, coaching technical talent and partnering with Sales, Marketing, Services, customers, and partners. The role requires leadership experience in Big Data, cloud, or SaaS and a background in data engineering, databases, or data science.

## Job Description

## Responsibilities
- Lead, mentor, and support a high-performing, inclusive pre-sales team of technical Solutions Architects covering the ASEAN region.
- Foster belonging, continuous learning, and psychological safety while reflecting values of customer focus, teamwork, and diversity.
- Collaborate with Sales and other teams to identify opportunities and deliver data-driven, value-focused solutions.
- Establish best practices that improve team efficiency, collaboration, and business impact.
- Build trusted relationships with customers and partners as a strategic advisor in their digital transformation journeys.
- Partner with Marketing, Sales, Services, and other cross-functional teams to ensure a seamless customer experience.
- Represent the organization as part of the regional leadership team and contribute to its local presence and inclusive culture.

## Requirements
- Experience leading or managing technical teams in Big Data, cloud, or SaaS environments, or equivalent hands-on engineering or consulting experience.
- Track record of coaching and developing diverse, high-performing teams.
- Strong collaboration skills and ability to partner with Sales, Marketing, and other cross-functional leaders.
- Excellent communication and interpersonal skills.
- Technical background in data engineering, databases, or data science; consulting or customer-facing experience preferred.
- Enthusiasm for data, AI, and cloud technologies, with the ability to connect them to business outcomes.

## Benefits
- Comprehensive benefits and perks designed to meet employees’ needs, with details varying by region.

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