Manager, Professional Services
Skills & Technologies
Requirements
- Experience
- 10+ years
Joblaze summary
In the role of Manager, Professional Services at Databricks, the individual will engage with clients to tackle their big data challenges, focusing on data engineering and cloud technology projects. Key skills include expertise in Big Data technologies like Apache Spark and experience with cloud platforms such as AWS, GCP, or Azure, alongside a strong background in technical architecture and team management. This position is ideal for seasoned professionals with over a decade of relevant experience who are adept at guiding clients through complex data transformations.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 788 other open roles including Solutions Architect Greenfield (New Logo) Start Ups France, Sr. Solutions Engineer - AI Natives Business, Senior Solutions Architect.
- 1250 active AWS roles on Joblaze right now.
- 772 active GCP roles on Joblaze right now.
- 748 active Azure roles on Joblaze right now.
Quick facts
- Is the Manager, Professional Services role remote?
- No — this is an on-site role in Remote - India.
- How much experience is required?
- At least 10 years of relevant experience for this Manager, Professional Services role.
- Where is the role based?
- Databricks is hiring for this position in Remote - India.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: cloud-native, AWS, Databricks, Apache Spark, GCP, Kafka.
- What seniority level is this role?
- Databricks targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Manager, Professional Services role at Databricks.
From the original posting
The impact you will have:
- Hire great people and provide technical guidance, career development, and mentoring to team members
- Participate in key technical and design discussions with technical leads in the team as a hands-on manager
- Experience leading the development of IP, reusable tooling, and assets for field professional services teams and partners
- Partner with key business stakeholders to prioritise work and create amazing products to support our data platform.
- Manage a team of technical data engineers to achieve customer, company, and team goals
- Acts as the first point of escalation for customers when they have questions with our delivery. Additionally, provides escalation as needed into other parts of Databricks to ensure rapid resolution of technical and business issues.
- Provide input to grow and improve internal processes and customer success service offerings.
- Effectively builds and leverages customer relationships throughout the sales and delivery process.
- 12+ years of industry experience
- 6+ years of successful experience in a customer facing role
- 4+ years of experience leading a technical team of Data Engineers / Architects
- Extensive experience in Big Data ecosystem (Spark, Hadoop ecosystem, Cassandra etc)
- Knowledge of AWS / Azure / GCP
- Knowledge of Databricks ecosystem is a plus
- Proven documentation skills, along with strong project management experience.
- Strong abilities manage multiple engagements, while delivering extremely high levels of customer satisfaction.
- Excellent people skills to partner with various key business stakeholders.
- Conversant with business issues our customers face today and likely big data use cases in different industries
- Experience estimating effort and scope for services
- Private medical insurance
- Accident coverage
- Employee's Provident Fund
- Equity awards
- Paid parental leave
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Business travel insurance
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 click here.
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.