Director of Data Engineering

Sensaria is a leader in the Wall Decor and Print-On-Demand industry. We operate eight e-commerce storefronts, two business-to-business brands, in-house art creation, and coast-to-coast production facilities. Sensaria brings moments and art to life. We are proud to be a leading innovator in our industry, enabling more for customers - more products, more quality and speed. We are enthusiastic, we think bigger and work hard to unlock opportunity and achieve incredible results.

Where most see a blank canvas, Sensaria sees infinite possibility. The chance to impact the senses and shape a moment in time, realizing a vision of design and decor that can reinvent, renew, and revive. With equal parts, passion and operational excellence, Sensaria creates new ways to bring art and memories to life in any space. And through innovation, quality and speed, the company empowers unlimited growth potential for clientele. Enabling more for customers - more efficiency, more creativity, and more moments of inspiration, Sensaria thinks bigger and bolder to unlock opportunity and achieve incredible results together.

Sensaria is seeking a dynamic Director of Data Engineering to lead the strategy, architecture, and execution of our organization's data infrastructure, managing and working hands on with teams to build scalable, secure, and high-quality data pipelines. This senior leadership role focuses on data modeling, cloud-native solutions, and aligning data initiatives with business goals. This role will be based at our Morrisville, NC HQ (near RDU International) this will be a hybrid role with opportunity to work remotely. At this time, we are unable to provide work sponsorship or relocation. Come innovate with our team!

Key Role Responsibilities/Position Overview :

Strategic Leadership

• Data Roadmap: Define and execute the long-term technical roadmap for data engineering, overcoming disparate, siloed reporting to consolidated, comprehensive org wide data.
• Architecture Oversight: Overseeing the design of robust, secure, and scalable data solutions.
• Budget Management: Oversee the data engineering cloud infrastructure budget (AWS/GCP), optimizing for performance while controlling "compute" and storage costs.

Engineering Excellence

• Data Quality & Governance: Establish rigorous standards for data cleanliness, metadata management, and "Single Source of Truth" (SSOT) protocols.
• Security & Compliance: Ensure all data pipelines comply with global regulations (GDPR, CCPA, HIPAA) and internal security policies.

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• Tool Selection: Evaluate and implement the "Modern Data Stack" (e.g., Snowflake, dbt, Fivetran, Airflow) to improve engineering velocity.

Team & People Management

• Mentorship: Lead and grow a team of Data Engineers, Analytics Engineers, and Database Administrators.
• Culture: Foster a culture of "DataOps," emphasizing automation, quality, continuous integration (CI/CD), and proactive monitoring

Technical Profile and Education Requirements:

• Education: Bachelor’s in Computer Science, Engineering, or a related quantitative field (Master's preferred) or equivalent experience.
• Experience: 10+ years in data engineering; 4+ years in a leadership or management role.
• Tools: Cloud expertise, preferably AWS or GCP (BigQuery).
• Data Tools: Experience with Airflow, Excel, Tableau, Looker Professional, Looker Studio highly preferred
• Languages: Mastery of Python and SQL; familiarity with Scala or Java is a plus.

Hard & Soft Skills

• Systems Design: Ability to architect systems that are "highly available" and "fault-tolerant."
• Stakeholder Management: The ability to explain complex technical debt or architectural trade-offs to non-technical CEOs or Marketing Directors.
• Collaboration: Aligning with the application and engineering teams to produce a cohesive enterprise data solution.
• Decisiveness: Making tough calls on "Buy vs. Build"—knowing when to use an off-the-shelf tool vs. writing custom code.
• Problem-Solving: Identifying bottlenecks in data latency or reliability that are slowing down business decision-making.

5. Success Metrics (KPIs)

• Data Availability: Achieving 99.9% uptime for critical data pipelines.
• Data Latency: Reducing the time it takes for a business event to appear in the dashboard (e.g., moving from 24-hour lag to near real-time).
• Cost Efficiency: Reducing annual cloud storage/compute costs through optimization and better modeling.
• Team Velocity: Improving the speed at which the engineering team can deploy new data models.

Benefits: Sensaria offers a competitive compensation package, which includes vacation days, sick days, paid holidays, paid maternity and paternity leave, paid floating holiday, along with Medical, Dental, Vision, 401K, STD, LTD, Optional Life insurance, and opportunities for professional development. We are dedicated to creating an inclusive and collaborative workplace where every team member can thrive.