Staff Data Engineer

AI overview

Be the architect of Showpad's data evolution, building scalable pipelines and leading the design of a robust analytics platform for data-driven customer decisions.

Location Qualifications:
Ghent (hybrid, 2 days in the office)

 

About the position

As a Staff Data Engineer, you won’t just build pipelines; you will be the architect of our data evolution. You will contribute to the vision for our analytics and reporting platform, ensuring it is scalable, resilient, and - most importantly - an accelerator for the entire organization. Our data platform powers customer-facing embedded analytics that thousands of users rely on daily. You will be building the foundation that enables our customers to make data-driven decisions about their revenue effectiveness programs.

You will participate in the design of our Medallion architecture, star schemas, and data governance frameworks. Your goal is to build a platform so robust and intuitive that other teams are empowered to build their own "Gold" tier models with speed and autonomy.

What You’ll Do

  • Architectural Stewardship: Contribute to the long-term vision of our data lake, entity-relationship models, and data catalog (Glue/Lake Formation). You will serve as a Data Architect for our Medallion architecture and star schemas.
  • Embedded Analytics Leadership: Solve the unique challenges of customer-facing data: ensuring multi-tenant data isolation, achieving sub-second query latency, and maintaining strict SLAs for our white-labeled analytics products.
  • Team Enablement: Act as a primary enabler for cross-functional teams, providing the tooling, standards, and mentorship they need to build high-quality downstream data models.
  • Data Governance & Quality: Establish the "rules of the road" for data contracts, schema evolution, and lineage to ensure our data remains a trusted source of truth.
  • Strategic Collaboration: Partner with Product and Engineering leadership to translate complex business needs into cost-efficient, pragmatic technical roadmaps.
  • System Evolution: Lead the transition toward modern table formats (Apache Iceberg) and high-performance analytics engines (Clickhouse/OpenSearch).

Our Tech Stack

We are deep in the AWS ecosystem, emphasizing performance and cost-efficiency:

  • Orchestration & Transformation: dbt, Glue Jobs, AWS ECS Fargate.
  • Storage & Catalog: S3 Datalake (Iceberg/Hive), Glue Data Catalog, Lake Formation.
  • Compute & APIs: AWS Lambda (TypeScript/Python), Athena.
  • Analytics & BI: Clickhouse, OpenSearch, AWS QuickSight, Luzmo (or experience with similar BI/embedded analytics tools).
  • Infrastructure: CDK / CloudFormation.

 What We’re Looking For

  • The "Architect" Mentality: You don't just solve the immediate problem; you build systems that prevent future ones. You prioritize pragmatic, cost-efficient solutions over "shiny object" syndrome.
  • Mastery of Data Modeling: Expert-level knowledge of Kimball star-schema and dimensional modeling. You know when to follow the rules and when to break them.
  • Large-Scale Experience: Proven track record of managing large-scale, event-driven systems and complex ingestion workflows.
  • DevOps Mindset: You believe in CI/CD, automated monitoring, and "DataOps" as a standard, not an afterthought.
  • Communication: The ability to explain complex architectural trade-offs to non-technical stakeholders.

Company Highlights: 

Welcome to the new era of revenue effectiveness. The merger of Showpad and Bigtincan is creating the first AI-powered platform to strengthen the entire field selling motion.

By unifying two industry-acclaimed solutions for content, readiness, engagement, and intelligence into a single operating system, we are delivering unrivaled scale and accelerated growth for our 2,000+ combined customers worldwide, including leaders in manufacturing (Dow, Dupont), healthcare (Fujifilm, Kaiser Permanente, Johnson&Johnson), CPG (Smucker’s, Mitsubishi, Stanley Black & Decker), and enterprise tech (HID, CultureAmp, LastPass).

Acclaimed by analysts and adored by customers, we’re recognized as a Leader in the Forrester Wave™ Revenue Enablement Platforms, honored by Gartner as a Customers’ Choice in Revenue Enablement Platforms, and, together, endorsed by nearly 3,000 5-star customer reviews on G2.

United, we’re focused on powering the next generation of field selling success through a more holistic engine that creates lasting value for our customers and a new vision for our category.

Discover the revenue team outcomes we’re driving together at showpad.com.

 

What you can expect from Showpad

We welcome every voice and are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated. We’re building a best-in-class experience for our employees and are always identifying opportunities to encourage our team to be their authentic selves. Whether that’s paid parental leave, paid holidays (including Juneteenth and paid time off to vote), paid time off to volunteer at non-profit organizations, personal development opportunities or professional stretch assignments, you can expect Showpad to support you. 



Showpad’s Commitment

We are committed to creating a diverse and inclusive organization and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.

#LI

Perks & Benefits Extracted with AI

  • Professional development opportunities: personal development opportunities or professional stretch assignments
  • Paid Parental Leave: paid parental leave
  • Paid holidays and time off for volunteering: paid holidays (including Juneteenth and paid time off to vote), paid time off to volunteer at non-profit organizations
Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Staff Data Engineer Q&A's
Report this job
Apply for this job