StreamSets

Customer Success Engineer

Software Architect in Remote

Posted 2019-08-15
Description

Responsibilities
Help our customers succeed by solving their challenging business and technical problems using the StreamSet product suite.
Help customers operationalize and deploy the StreamSets products being the primary technical advisor on best practices not just with StreamSets but also the surrounding ecosystem of products such as Hadoop, Kafka, RDMBS, NoSQL, Cloud etc.
Assist with all phases of StreamSets implementations, starting with installation, architecture design and review, deployment topology planning, tuning and providing best practices
Contribute to internal technical projects, which can include software development, tooling, benchmarking, troubleshooting
Work closely with the sales team and pre-sales team on technical escalations and help grow opportunities in existing accounts
Assist with customer PoC/Pilots through effective management of acceptance criteria and issue escalation/resolution
Work with all technical levels from managers, to architects and developers and explain the StreamSets technology and architecture
Identify and write internal and external technical collateral, like typical deployment architectures or best practices
Be the technical product expert for customers and stay up-to-date on the competitive landscape
Build strong relationships with our customer's technical and non-technical staff
Articulate product positioning and competitive differentiation to both business and technical users ranging from individual contributes to VPs to C-level executives
Work with customers, partners, and engineers to craft and propose solutions
Able to convey customer requirements to Product Management teams
Able to travel 50% across the Americas and if required Globally

Qualifications

Ideal candidate must be self-motivated with a proven track record in software consulting and knowledge of technology. Comfortable in the dynamic atmosphere of a technical organization with a rapidly expanding customer base. Must possess strong presentation skills and be able to communicate professionally in written responses to emails, RFPs, and when submitting reports. Must be able to get into the weeds and build credibility in front of rooms of data engineers. Organized and analytical, able to eliminate adoption and deployment obstacles through creative and adaptive approaches. Travel requirements up to 50%.

5+ years experience in consulting for enterprise software ideally with Data and/or Data Integration industry experience, with a focus on ETL, analytics applications, and Big Data / Hadoop
Strong Linux experience required
Understanding of JVM internals is a strong plus
Experience programming/scripting with Java, Perl, Python, Unix Shell scripts is a plus
Strong background Application design and development, Systems administration, Database administration, Data architecture and design, Performance tuning and benchmarking
Experience engaging with developers and programming experience in at least two of Java/Python/Scala
Hands-on administration and troubleshooting experience with x86 operating systems (Linux, Windows, Mac OS), networking and storage architectures
Strong diagnostic/ troubleshooting process, with significant experience troubleshooting real, end-to-end technical issues
Excellent communication and presentation skills with an ability to present technical solutions concisely from small to large audience
Demonstrated critical thinking and advanced troubleshooting skills and qualities
BS in Computer Science, Engineering or equivalent experience in software and/or a technologically relevant field
Prior experience in a fast-paced startup environment highly desired
Ability to travel at least 50% of the time is required

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Company summary

StreamSets is the industry's first data operations platform for full life-cycle management of data in motion.

Perks

Well-stocked kitchen full of snacks; company paid lunch on Mondays and Thursdays; your dream workstation; take time off whenever you need it; regular team outings, parties, and happy hour meetups.

Tech Stack

Java, JavaScript, HTML/CSS3, big data/cloud technologies, Linux

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