[Hiring] Senior Data Engineer @Fountain Forward

Role Description

The Senior Data Engineer owns company data architecture and manages scalable Databricks pipelines using medallion architecture and Delta Lake. This role is responsible for driving advanced data solutions, optimizing pipeline costs, prioritizing feature deployments, owning the semantic layer, and mentoring the Junior Data Engineer. Working across teams, the Senior Data Engineer ensures high performance, data reliability, and scalable infrastructure to meet organizational growth goals.

Responsibilities & Duties

• Databricks & Pipeline Management:
  • Manage, monitor, and scale production data pipelines and medallion architecture (Bronze, Silver, Gold) hosted on Databricks using Delta Lake or Iceberg.
  • Continuously review and optimize pipeline infrastructure to reduce operational and compute costs.
• Data Ownership & Architecture:
  • Act as the primary owner of company data, ensuring governance, accuracy, and high availability.
  • Design scalable dimensional models and star schemas for downstream analytics and multi-CRM data marts.
  • Act as the sole owner and architect of the enterprise semantic layer, governing business metrics and data definitions for reporting.
• Feature Prioritization & Deployment:
  • Prioritize new data features, enhancements, and pipeline deployments aligned with business priorities.
• Mentorship & Collaboration:
  • Support, guide, and mentor the Junior Data Engineer to ensure technical growth and quality execution.
  • Collaborate with cross-functional stakeholders to align data engineering deliverables with business objectives.

Qualifications

• Databricks Certified Associate or Professional Data Engineer certification (MANDATORY).
• Minimum of 2 years of professional experience in similar data engineering roles.
• Demonstrated experience in star schema design, dimensional modeling, and semantic layer architecture.
• Proficiency with cloud data lakehouse table formats (Delta Lake or Apache Iceberg) and cloud environments (BigQuery/GCP or Databricks).
• Strong analytical mindset with a focus on problem-solving, optimization, and cost reduction.
• Proficiency in SQL, Python, and Databricks platform tooling.

Preferred Experience & Competencies

• Experience mentoring or leading junior technical team members.
• Proven track record of optimizing Databricks resource utilization and cloud costs.

Benefits

• How We Work:
  • Freedom and flexibility. We’re a team working from around the world.
  • Autonomy and ownership. No micromanagement; we take full ownership for our results.
  • Be helpful and dedicated. We support our clients and team members.
• The Perks!
  • Remote-First Culture: Work from home—or anywhere in the world.
  • Flexible Schedule: Flexibility in your daily schedule to maintain a healthy work-life balance.
  • Unlimited Paid Time Off: Enjoy an unlimited vacation policy with just two weeks’ notice and manager approval.
  • Parental Leave: Support during significant life events with maternity and paternity leave policy.
  • Room to Grow: Opportunities for upward mobility as the company grows.
  • Professional Development: Access to training in digital marketing, advertising, and leadership.
  • Quarterly Performance Bonuses: Earn bonuses based on your performance.
  • Paid Referral Program: Earn rewards for referring great talent.
  • Health & Fitness Reimbursement (upon tenure): Support for health insurance or a gym membership.