FEQ125R78
Role:
Reporting to the Sr. Director, Field Engineering for all of LATAM, you will be responsible for building and leading a team of Delivery Solutions Architects. DSA's lead the post-sales technical strategy for our largest Enterprise customers, with a focus on ensuring use cases go into production as quickly and smoothly as possible. This requires resource orchestration skills and a solid understanding of Databricks technology and the broader Data+AI ecosystem.
As a DSA Manager, you will shape and monitor the post-sales execution strategy for customers in LATAM, in close collaboration with our sales, pre-sales, partner, and professional services teams. You will make investment decisions in collaboration with the Sales and SA Managers for your region. You will help shape and adjust the value proposition of the DSA role for your region and promote it in front of Sales teams and customers.
You will be a technical sponsor and thought-leader to a select number of customers. You will hire and coach your team to prioritize and work with different customer stakeholders up to C-level executives, with the goal of driving usage growth by getting use cases into production faster.
Impact:
- Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals
- Hire, coach, and grow a team of Delivery Solutions Architects for a company in high-growth mode
- Keep your team ahead of the technical curve. A DSA adds value by maintaining advanced knowledge of the technology stack, and advising customers on the best use of it in their architecture. You will make sure that your team is continuously learning and staying in-line with the other field functions while consistently exceeding their certification goals
- Assign accounts and distribute work across individuals for optimal customer coverage and team balance
- Inspire the team to be customer obsessed by understanding customer goals, their use cases, and Databricks technology
- Build relationships and partner with Sales, SA, SSA, and professional services teams to accelerate customer growth
- Work with cross-functional teams to reduce customer risk, and help your team with escalations while removing blockers
- Lead team activities to monitor customer progress and forecasted growth
- Provide input to grow and improve internal processes
- Maintain a robust hiring pipeline at all times
**Requirements**:
- 10+ years of successful experience in customer-facing technical GTM role(s)
- Proven SaaS delivery experience in the areas of Data Analytics, Data Warehousing, Data Engineering, ETL, Machine Learning, AI or Data Science.
- 2+ years of experience building and leading technical post-sales teams, including hiring, on-boarding, and enablement
- Trusted advisor to technical executives that guide strategic data project delivery decisions
- Lead a team through best practices for architecture discussions and use case go-lives
- Experience creating project, execution, and customer growth strategy plans
- Proven ability to build and maintain a positive team culture, while driving cross-functional collaboration with supporting adjacent internal teams
- Experience in delivery and deployment of workloads into production
**Benefits**:
- Private Medical and Dental
- Life Insurance
- Meal Allowance
- Equity Awards
- Paid Parental Leave
- Fitness Reimbursement
- Annual Career Development Fund
- Home Office/Work Headphones Reimbursement
- Childcare Reimbursement
- Business Travel Accident Insurance
- Mental Wellness Resources
**About Databricks**
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
**Our Commitment to Diversity and Inclusion**
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
**Compliance