Sr Data Engineer (Finance Solutions)

Senior Data Engineer

About Us:

LeadVenture is the market-leading SaaS provider of digital retailing, eCommerce, digital marketing and eCatalog solutions for dealerships across 12 industry verticals including powersports, marine, RV, pre-owned auto, agriculture and more. We host more than 20,000 dealership online storefronts with numerous layered apps such as inventory management, lead management, email marketing, eCommerce and many more. These digital storefronts connect dealers with online shoppers through best-in-market online consumer experiences. Our solutions enable optimal inventory merchandising while maximizing qualified lead generation. We collect and publish data on millions of vehicles and parts for hundreds of catalog and aftermarket providers—including OEM and aftermarket parts, garments and accessories—and syndicate data to popular marketplaces like eBay, Facebook Marketplace, Craigslist, Amazon, Walmart and others. We are recommended by nearly 200 OEMs to their dealer networks, including BRP, Polaris, Goodyear and many more.

Our family of brands includes Dealer Spike, ARI Network Services, Inc. (ARI), Dealer Car Search, TCS Technologies, Net Driven, Direct Communications, Inc. (DCi), Auction123, Powersports Support and Interact RV. Each one is an industry leader in driving consumer engagement and maximizing lead generation for dealers. LeadVenture’s 1,100 team members around the world wake up each day thinking about how to help our local, independent dealers around the world grow their businesses. Our investors include the private equity firms True Wind Capital and TA Associates.

About the Role:

We are looking for a Senior Data Engineer with experience in SaaS business models building critical data reporting systems. This person will take on ownership of our ARR (Annual Recurring Revenue) Reporting Environment which support analysis by multiple teams for C-suite executives and the Board of Directors strategic decisions. The ideal candidate will have strong curiosity, initiative, and ability to bridge the technical code and business logic to enable new enhancements and integration of new businesses while increasing the stability and scalability of the overall environment.

This person will collaborate closely with cross-functional teams to generate consensus, including:

• IT to design and implement data pipelines, governance, and security policies
• Finance to align on and meet the reporting requirements of our Executive team and Board of Directors. Prior experience working with Finance teams is considered a strong plus.
• PMO organization to understand company initiatives that may require modification
• This is a 50-70% hands-on technical role with strong need for communication with non-technical audience and stakeholder management

Here's more about what you’ll get to do (Responsibilities):

• Lead the design and implementation of business data systems and pipelines to source data for critical data requirements.
• Provide technical thought leadership in a collaborative team environment including data and software solutions to deliver timely and relevant information for decision making.
• Ability to discuss business concepts and translate that into technical code to apply to data to reach desired outcome
• Has the ability to troubleshoot issues due to failures of the pipeline and data transformation
• Become expert on core business logic and its application in transforming business data structures using SQL, Python, R to normalize data for analysis.
• Ability to self-manage and come up with solutions to address business needs
• Make recommendations on critical data pipeline & infrastructure decisions to streamline sourcing, transformation, storage, and delivery of data to LeadVenture Executives
• Adapt data pipelines and business logic to respond to evolving business contexts, examples including expansion into international markets, mergers and acquisitions, and product launches
• Able to teach and mentor team members to drive the overall success of the team
• Must have 5 years’ experience in related roles as a Data Engineer

Technical Skills Required:

• You must have a working knowledge of SQL, Python, Git, and AWS technologies (S3, Athena, Glue)
• Experience working with NetSuite and Salesforce data a strong asset
• Experience working with orchestration tools like Apache Airflow or other data tools such as DBT considered an asset
• Experience in finance and accounting, or direct work with finance and accounting organizations, is considered a strong asset.
• Familiar with the basic constructs of a SaaS business model including ARR Walks, LTV:CAC, Churn / Renewal rate dynamics, Downsell / Upsell, Pricing, and New logo growth targets.