Senior Data Engineer, EIM

🕒 2 days ago

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Vena Solutions

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2011

☁️ SaaS

💸 Finance

🤝 B2B

💰 Debt Financing - Vena Solutions on 2025-04

SaaS • Finance • B2B

Vena Solutions is a SaaS provider of an Excel-native financial planning and analysis (FP&A) platform that helps finance teams with budgeting, forecasting, reporting, consolidation, and cash-flow and workforce planning. The platform integrates natively with Microsoft 365 apps, ERP/CRM/HRIS systems, and includes an OLAP database (CubeFLEX) and AI features (Vena Copilot) to accelerate modeling, collaboration, and decision-making for enterprise finance organizations.

📋 Description

• Drive the execution of the technical vision of our internal Data Infrastructure. • Evolve the maturity and the level of technical excellence across your group and the entire EIM organization. • Build an all-inclusive data program that is source agnostic and brings together data from various business applications to provide product usage, marketing effectiveness, employee retention, LTV, all in one place. • Create true agility within the data team to work sprint-by-sprint and build progressively, embracing the concept of MVP and backlogs. • Design and implement strategies that will achieve growth and productivity through process automation of existing and new operating models. • Create data models, data mapping and the necessary ETL design. Build and validate activities for various data integrations. • Partner with key stakeholders teams to deliver a scalable next generation data architecture, and solid data engineering processes that align with corporate Security and Data Governance. • Foster data-driven culture and the creation of related competencies and data literacy across the organization.

🎯 Requirements

• 4+ years of building and deploying data integration (ETL) workflows from multiple business applications (HubSpot, Salesforce, ADP WFN), databases, flat files, JSON/XML, APIs with proven working experience in an agile or scrum environment. • Direct experience with Redshift, Snowflake, or similar cloud data warehouse technology. Snowflake is preferred. • Strong programming skills in SQL, Python and data integration tools such as Fivetran, and Stitch. Fivetran is preferred. • Skilled in creating source-to-target data mapping and ETL transformation rules. • Experience developing and/or managing near real-time data pipelines and fast data architectures. • Experience with creating reusable ETL framework/components, automated testing, continuous integration and automated build pipelines. • Excellent understanding of relational and dimensional data modelling. • The ability to influence through strong communication and interpersonal skills. • A love of learning, a drive for self-improvement and a desire to help everyone be better. • Understanding of complex business processes and subject matter, able to grasp and simplify the expression of complex scenarios in a way that helps business partners get to solutions; • Customer service minded and strong client interaction skills. • A top performer with a diligent work ethic and commitment to excellence. • Interest in AI and willingness to explore AI-driven solutions to enhance performance and drive efficiencies