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Databricks // AI-based big data processing software
 
Multiple locations    Posted: Wednesday, June 12, 2019
 
   
 
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JOB DETAILS
 

MISSION

As a Resident Solutions Architect, you will have the opportunity to shape the future big data solution landscape for leading Fortune 500 organizations. This position is a senior level customer-facing role that needs deep expertise in Apache Spark along with breadth of big data solution architecture experience. On a weekly basis, you will guide customers through architecture, design & implementation activities while strategically aligning their technical roadmap for expanding the usage of the Databricks platform.

At Databricks we work on some of the most complex distributed processing systems & our customers challenge us with interesting new big data & AI requirements. RSAs at Databricks are five-star, self-motivated, rock stars with a history of delivering strong business results in technology & consulting. And since teamwork makes the dream work is a fundamental growth value at Databricks, an RSA works internally within a multi-functional team including Account Executives & Customer Success Engineers, all while having a direct channel to the creators of Apache Spark.

Databricks mission is to accelerate innovation for its customers by unifying Data Science, Engineering & Business. Founded by the team who originally created Apache Spark, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering & lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL & interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, & secure cloud infrastructure that reduces operational complexity & total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA & Battery Ventures, among others, has a global customer base that includes Salesforce, Viacom, Shell, & HP. For more information, visit www.databricks.com.

OUTCOMES

    • Guide strategic customers as they design & implement Big Data projects ranging from transformations to data science & AI through on-site & remote engagements
    • Provide technical leadership in a pre-sales & post-sales capacity for customers to support successful understanding, evaluation & adoption of Databricks
    • Identify & drive new initiatives that enable customers to succeed in turning their data into value
    • Build reference architectures, frameworks, solutions, how-tos, & prototypes for customers
    • Provide escalated level of support for critical customer operational issues
    • Architect, implement, and/or validate migration of workloads from 3rd party databases & data platforms to Apache Spark.
    • Evangelize Spark & Databricks across developer community through meetups & conferences
    • Plan & coordinate with Account Executives, Customer Success Engineers & Solution Architects for expanding the use of Databricks platform within strategic enterprise customers on a weekly basis

COMPETENCIES

    • Deep hands-on technical expertise with Apache Spark
    • Minimum 5+ years of design & implementation experience in Big Data technologies (Hadoop ecosystem, Kafka, NoSQL databases)
    • 3-5 years in customer-facing pre-sales, technical architecture or consulting role
    • Open to travel up to 30% per month
    • Familiarity with data architecture patterns (data warehouse, data lake, streaming, Lambda/Kappa architecture)
    • Outstanding verbal & written communication skills; Comfortable with talking up & down the IT chain of command including directors, managers, architects & developers
    • Passionate about learning new technologies & making customers successful
    • Excellent presentation & whiteboarding skills
    • Comfortable coding Python, Scala or Java
    • Familiarity with AWS/EC2 cloud deployment models (Public vs. VPC)

Preferred Competencies

    • BS / MS in Computer Science or equivalent
    • Proven track record within a data platform software vendor in a consulting/services function
    • Experience working as or with Data Scientists
    • Experienced with performance tuning, troubleshooting, & debugging Spark and/or other big data solutions
    • Familiarity with database & analytics technologies in the industry including Data Warehousing/ETL, Relational Databases, or MPP
    • Located in any of the following metro areas: San Francisco, New York, Boston, or DC

Benefits

  • Medical, dental, vision
  • 401k Retirement Plan
  • Unlimited Paid Time Off
  • Catered lunch (everyday), snacks, & drinks
  • Gym reimbursement
  • Employee referral bonus program
  • Awesome coworkers
  • Maternity & paternity plans

About Databricks

Databricks mission is to accelerate innovation for its customers by unifying Data Science, Engineering & Business. Founded by the original creators of Apache Spark, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering & lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL & interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, & secure cloud infrastructure that reduces operational complexity & total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA & Battery Ventures, among others, has a global customer base that includes Viacom, Shell, & HP. For more information, visit www.databricks.com.

Apache, Apache Spark & Spark are trademarks of the Apache Software Foundation.

 
 
 
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