Manager, Professional Services

Databricks; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Private medical insurance

Accident coverage

Provident Fund

Equity awards

Paid parental leave

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Business travel insurance

Job summary

Databricks is seeking a Manager (Professional Services) to hire and manage Big Data Engineers and Architects in Bengaluru. You will lead technical discussions, guide project delivery, and drive IP/tooling development for our data platform, partnering with stakeholders to prioritise work and ensure customer success.

You will oversee delivery teams, escalate issues as needed, and contribute to continuous improvement of internal processes and services, with a focus on achieving strategic objectives

Qualifications

• 12+ years of industry experience
• 6+ years in a customer facing role
• 4+ years leading a technical team of Data Engineers/Architects
• Extensive experience in Big Data ecosystem (Spark, Hadoop, Cassandra)
• Knowledge of AWS / Azure / GCP
• Experience estimating effort and scope for services
• Strong project management and documentation skills
• Excellent ability to manage multiple engagements and deliver high customer satisfaction
• Strong people skills to partner with key business stakeholders
• Familiarity with the company ecosystem is a plus

Responsibilities

• Hire great people and provide technical guidance, career development, and mentoring to team members
• Participate in key technical and design discussions with technical leads as a hands-on manager
• Lead development of IP, reusable tooling, and assets for field professional services teams and partners
• Partner with key business stakeholders to prioritise work and create products supporting the data platform
• Manage a team of technical data engineers to achieve customer, company, and team goals
• Act as the first escalation point for customers and coordinate rapid resolution of issues
• Provide input to grow and improve internal processes and customer success offerings
• Build and leverage customer relationships throughout the sales and delivery process

Skills

People leadership

Customer facing

Big Data

Team leadership

Cloud platforms

Data engineers/architects

Project management

Documentation

Multi-engagements

Stakeholder partnering

Job description

CSQ227R28

As aManager (Professional Services), you will hire & manage Big Data Engineers / Architects and participate in technical and design discussions with regions and customers. You will also assist our customers by overseeing projects in their the company journey and provide them with the guidance, knowledge, and enable them to accomplish the value and achieve their strategic objectives using our products. This individual is expected to be based in Bengaluru.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 the company 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.

What we look for:

• 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 the company 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

Benefits :

• 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 the company

the company is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the the company Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, the company offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow the company on LinkedIn, X, YouTube, and Instagram.

**Benefits

**At the company, 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 the company, 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 the company 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.

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