Sr. Sales Engineer, East Coast

Bigeye•New York, NY

12h•$150,000 - $177,000

About The Position

Bigeye is on a mission to help enterprises trust their data. When used effectively, data can create magical experiences in services and products we all use every day. But those experiences suffer whenever data is delayed, missing, or low quality. Nearly every major enterprise still struggles to keep their data pipelines reliable and to maintain data quality, and can no longer afford to sift through a mess of manually created data quality rules. Some of the world’s largest enterprises—like Burberry, Hertz, Cisco and RNLI—have realised they need a more scalable approach, and now use Bigeye’s industry-leading data observability platform to keep their mission critical data applications running smoothly. Our unmatched support for enterprise-oriented data sources, and industry-leading data lineage capabilities, give us a unique foundation from which to serve enterprise data teams. The scale of this challenge is incredibly exciting: we already check over 3 million data quality attributes and 3 Trillion lineage assets every day for our customers, but estimate that only 2% of the addressable market has made the switch to using data observability. Come join us in the journey to serve the other 98%. As a Sales Engineer, you will be part of the Field Engineering team at Bigeye. Led by Bigeye’s co-founder and Field CTO, the Field Engineering team uses technology to build solutions - for our prospects, our customers, our partners, and ourselves. We are an experienced team that grasps how critical data is to the business, how the quality of data impacts informed-choice making, and the pressure data teams are under to deliver that high-quality data 24/7. Field Engineering prioritizes team accomplishments over individual contributions. We are a small and nimble team, where everyone is eager to help solve customer problems. You will never feel alone or stuck, and will have the whole strength of decades of experience with data and engineering behind you. In addition to this, you will work with Sales, Product, and Engineering teams to address the needs of data teams everywhere with Bigeye, the most innovative and advanced data observability platform. In this role, you will work directly with data innovators, analysts, scientists, and engineers at our prospects, customers, and industry-partner teams.

Requirements

3-5+ years of Sales Engineering experience (level determined based on experience)
Experience working with cloud data warehouses or lakes, such as Snowflake, Databricks, Microsoft Synapse, and Google BigQuery.
Aptitude to work with data hands-on, including reading and writing SQL, debugging SQL queries, and comprehending how users interact with databases.
Desire to solve a problem once and then automate it
Comprehension of database management practices: partitions, indices, schema design, etc.
Knowledge of both ETL and ELT approaches to data pipelines.

Nice To Haves

2+ years of Sales Engineering experience in B2B SaaS data products
Comprehension of at least one major cloud infrastructure provider (AWS, GCP, Azure)
Hands-on experience with one or more of modern data tools: Airflow, dbt, Azure Data Factory, Fivetran, etc.
Beginner to intermediate grasp of Python or equivalent language

Responsibilities

Help prospects and customers advance data-driven culture and drive concrete business outcomes.
Trailblaze a rapidly emerging market by evangelizing the value, ease of use, and speed of Bigeye.
Guide prospects from demos to proof of concepts (POCs) to production, helping them build comprehensive data observability practices and delivering value throughout.
Design and implement industry specific demonstrations and POCs that create repeatable and concrete outcomes for prospective customers.
Assess the economic benefits of Bigeye and gain consensus among stakeholders across the business.
Attend conferences, seminars and events related to the industry to keep our market awareness sharp.
Collect and share product feedback across the Bigeye Product and Engineering team.
Reply to RFIs, RFPs and RFQs.
Teach and showcase Bigeye for prospects, partners, and customers using customer success stories, and other assets.