Principle Data Engineer in Portland, OR

$80K - $100K(Ladders Estimates)

Databricks   •  

Portland, OR 97201

Industry: Enterprise Technology

  •  

5 - 7 years

Posted 26 days ago

As a Principal Data Engineer, 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 and 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 and our customers challenge us with interesting new big data and AI requirements. RSAs at Databricks are five-star, self-motivated, rock stars with a history of delivering strong business results in technology and 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 and Customer Success Engineers, all while having a direct channel to the original creators of Apache Spark.

Outcomes

Guide strategic customers as they design and implement Big Data projects ranging from transformations to data science and AI through on-site and remote engagements

Provide technical leadership in a pre-sales and post-sales capacity for customers to support successful understanding, evaluation and adoption of Databricks

Identify and drive new initiatives that enable customers to succeed in turning their data into value

Build reference architectures, frameworks, solutions, how-to's, and 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 and data platforms to Apache Spark.

Evangelize Spark and Databricks across developer community through meetups and conferences

Plan and coordinate with Account Executives, Customer Success Engineers and 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 and 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 and written communication skills; Comfortable with talking up and down the IT chain of command including directors, managers, architects and developers

Passionate about learning new technologies and making customers successful

Excellent presentation and 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, and debugging Spark and/or other big data solutions

Familiarity with database and analytics technologies in the industry including Data Warehousing/ETL, Relational Databases, or MPP.

Valid Through: 2019-11-13