Senior Data Engineer

Posted:
10/15/2024, 10:34:20 AM

Location(s):
New York, New York, United States ⋅ New York, United States

Experience Level(s):
Senior

Field(s):
Data & Analytics

Workplace Type:
Hybrid

About Vantage:

Vantage is a cloud cost visibility and optimization platform, alternatively known as a FinOps platform. We help companies of all sizes manage their cloud infrastructure costs: everything from individual developers all the way up to multiple Fortune 500 customers. Our co-founders are industry veterans who have been former infrastructure engineers and product managers at DigitalOcean and AWS. The company is an efficient and hard working team of ~40 employees across the US with a New York City center of gravity.  As we transition to the growth phase of the business, it’s likely our team size will at least double by the end of 2025.

Our current customers include Aflac, PBS, FanDuel, Rippling, Compass, Ripple, and Starburst. 

Vantage has raised $25M in total venture capital, most recently a $21M Series A financing round in March of 2023.  Our investors include outstanding, top-tier investors including Andreessen Horowitz, Scale Venture Partners, Matthew Prince (Co-Founder & CEO, Cloudflare), Calvin French Owen (Co-Founder, Segment), Ben and Moisey Uretsky (Co-Founders, DigitalOcean), Stephanie and Nat Friedman (CEO, Github), Julia Lipton, Brianne Kimmel and others.

About The Role:

Vantage is looking for a data engineer to be the foundation to our data platform efforts.  This person will be responsible for owning and developing our large scale ingestion pipeline and the query layer, the system which warehouses all of the cost data powering the core of the Vantage product. You will be working with our Engineers to develop and scale the data ingestion, transformation and query layers to keep up with the growth of our customer base and expansion of our use cases.

Today we primarily use Clickhouse, Postgres, Temporal, Redis, and S3.

What You’ll Do:

  • Design, build, and operate the data processing platform that processes billions of records per month

  • Design, build, and operate the query and data infrastructure critical to the core of the Vantage product

  • Work directly with our founders and collaborate on feature discovery, ideation and delivery

  • Work closely with Product and our Engineers to understand data processing needs and propose the right solutions for them

  • Measure performance of our data processing platform and ensure it stays ahead of our rapidly growing business

What We're Looking For:

  • A BA/BS degree and a strong technical background with 8+ years of professional working experience

  • 2+ years of experience building and operating data platforms that transform and ingest large quantities of structured and unstructured data

  • Experience working in a fast-paced, dynamic environment seamlessly balancing tactical and strategic considerations

  • Experience working with MPP databases such as Clickhouse, Snowflake, Hive, etc

  • Experience with big data technologies like Trino, Spark, Hadoop, Airflow, Kafka

  • Experience with reliability engineering specifically in areas such as data quality, data observability and incident management

  • A kind person

Bonus Points:

  • Monitoring and observability expertise

  • Experience building and deploying to cloud infrastructure (AWS, Azure, GCP, etc.)

  • Relevant Data Visualization / financial product experience

Pay & Benefits

The estimated annual US base salary range for this role is $170,000 - $240,000. This salary range may be inclusive of several career levels and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Additional benefits for this role may include: equity, 401(k) plan; medical, dental, and vision benefits; and education stipends.

At this time, Vantage is only set up to employ in the United States

Vantage

Website: https://www.vantage.sh/

Headquarter Location: Toronto, Ontario, Canada

Employee Count: 11-50

Year Founded: 2013

IPO Status: Private

Last Funding Type: Venture - Series Unknown

Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Digital Marketing ⋅ Machine Learning ⋅ Marketing ⋅ Marketing Automation ⋅ Predictive Analytics ⋅ Retail ⋅ Retail Technology ⋅ Software