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Job Summary


Job Type
Permanent

Seniority

Years of Experience
Information not provided

Tech Stacks
Strategy
Analytics
Databricks
Apache
Azure
Spark
SQL
Python
AWS

Job Description


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As a Customer Success Engineer, you will manage the strategic success plan with our customers throughout their entire relationship with Databricks, right from business use case ideation all the way through to business realisation. By providing expertise, delivery and enablement support our CSEs to improve our customers.

This is a Data and AI experienced team that apply their technical experience to solve the world's toughest data problems. You will work directly with customers and leaders on their Data and AI strategy and the execution thereof in partnership with our business, sales, marketing, field engineering, product engineering, product management and wider customer success teams. You will assist our customers with tailor-made programs that fit their needs and ensure that we achieve our business and customer success goals regarding renewal rates, customer satisfaction, expansion, upsell, and new opportunities. The end result is a customer that speaks about Databricks and is willing and eager to be a customer reference for us.

The impact you will have:
  • Nurture and cultivate strategic relationships at senior and executive levels within our customers by identifying, qualifying and delivering quantifiable value
  • You will operate as a strategic partner who is integrated into our sales teams to support their goals, strategies, plans and actions
  • Advise our customers as a technical expert on how best to realise their Data and AI business use cases using the Databricks portfolio of products
  • Make sure that business value is at the core of what you are working on with our customers
  • You will run your book of business to ensure that our goals continue to be exceeded
  • Manage the entire relationship with our customers throughout their journey (from onboarding through adoption to growth and expansion) with Databricks
  • Develop an ongoing schedule with them (product roadmaps, executive briefings, QBR's, escalation management, status calls)
  • Partner with the technical support team to ensure that all support tickets are resolved within each customers service level agreement and manage any customer escalations
  • Identify and achieve the targets on renewal rates, customer satisfaction, expansions, upsells and new opportunities in the assigned accounts
  • Improve positive outcomes and improvements in our customer success model and be the contact between our customers and wider Databricks teams

What we look for:
  • Experience as a Customer Success Engineer, Lead Customer Success Engineer, or related discipline
  • Experience with the Big Data, Data Analytics and Data Science ecosystem, and in particular how Apache Spark fits into this
  • Experience with cloud-based architectures ( AWS, Azure & GCP)
  • Develop simple Spark notebooks to analyse customer usage data
  • Programming experience in either Python, SQL or Spark
  • Outstanding customer relationship skills
  • Written and verbal fluency in Mandarin is required for this role
  • Problem-solving skills that apply to a "Big Data" environment
  • 20 - 30% travel
  • Bachelor's degree in computer science

Benefits
  • Benefits allowance
  • Superannuation
  • Equity awards
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Business travel insurance

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.

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