Manager Big Data Architecture
Databricks
CSQ126R12
As Manager of Resident Solutions Architects at Databricks, you will provide strategic leadership for delivering professional services engagements to high-value Databricks customers. You will help shape the future big data and machine learning landscape for leading Fortune 500 organizations. You will report directly to the senior director of Professional Services in SEMEA.
You will be in a people-leadership capacity, responsible for core aspects of building and managing the Resident Solutions Architect team. Through your oversight and mentorship, this team will guide our largest customers, implementing pipelines spanning data engineering through model building and deployment, plus other technical tasks to help customers get value out of their data with Databricks. Your responsibilities will include hiring and developing the team, and providing oversight of customer projects to ensure they are managed and delivered to target and exacting standards.
The impact you will have:
- You will achieve regional team targets for billable utilization and hiring
- You will partner with account executives, customer success and field engineering leaders while guiding Resident Solutions Architects to achieve success with professional services projects with customers
- Help resolve customer concerns on strategic accounts and professional services engagements
- Analyze operational processes and escalation procedures and perform training needs assessments to identify opportunities for improving service delivery and contributing to customers.
- Manage a team of Resident Solution Architects and act as a supportive manager, including handling escalations, mentoring team members, and building a career path for the assigned team members.
What we look for:
- 4+ years of management experience managing consultant/delivery teams or solution architects.
- 5+ years individual contributor experience as a hands-on technical solutions architect that will allow you to act in a supportive manager capacity with technical architects that report to you.
- Experience driving software platform adoption in Fortune 500 organizations in markets such as: Finance, Media, Retail, Telco, Energy, and Healthcare.
- Implement a project schedule with experience with customer engagement.
- Experience with Databricks products, Spark ecosystem, and direct competitors.
- Up to 30% of travel required
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.
Benefits
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, please visit https://www.mybenefitsnow.com/databricks.
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
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.