Our Purpose:
At Lovesac, we are committed to helping people fill their homes with Total Comfort. That means having furniture that can evolve along with them as life unfolds.

From Sactionals The World's Most Adaptable Couch, to Sacs The World's Most Comfortable Seat, Lovesac products provide peace of mind where others cant. Our products can adapt to fit almost any space and style and look like new forever. This enables a new way of living, where people can continue to invest in, add to, and evolve their furniture instead of adding it to the landfill which is good for families and our environment.

What We Believe:
Love. It is the name we live up to. We champion building meaningful relationships as we foster a culture that embraces and celebrates the experiences, beliefs, backgrounds, expertise, talent, and individuality of everyone. We purposefully and meaningfully weave DEI into every aspect of our business. We seek to promote love, inclusion, and happiness in all that we do. #LoveMatters
We are committed to working and succeeding by incorporating our Guiding Principles into everything we do:

We can all win together
We do as we say
Do less and do best
We are borrowing this earth from our children
Love Matters

The Role:
As our Senior Data Engineer, you are responsible for optimizing the data ingestion infrastructure that underpins our analytics and operations platforms. Your expertise is critical in architecting robust and scalable systems that can handle the influx of data from various sources, including but not limited to databases, APIs, and streaming platforms. By leveraging cutting-edge technologies and best practices in data engineering, you enable our organization to harness the full potential of its data assets. As our Senior Data Engineer, you are the backbone of our data ecosystem, empowering our organization to derive actionable insights and drive informed decision-making through your adept management and optimization of data ingestion processes.

This position is remote and will report into Lovesac Corporate HUB based in Stamford, CT. Candidates must fully reside in the United States at all times during employment and should have the ability to travel as needed.

Summary of Key Job Responsibilities:

• Design and architect event-driven data infrastructure on Azure.
• Build data pipelines for ingesting, processing, and routing events using technologies such as Kafka, Azure Data Factory, Spark streaming, and others.
• Design and build a data Lakehouse architecture for seamless data management.
• Create cooperative frameworks for stream, batch, and real-time processing.
• Develop data models, schemas, and standards for event data.
• Optimize data replication, loading, storage, and access patterns for fast querying.
• Improve data reliability, discoverability, and observability.
• Enhance planning, development, and deployment processes for efficiency.
• Drive cross-pillar collaboration with Domain Architecture, product managers, and data scientists.
• Support the data requirements of new and existing solutions by developing scalable and extensible physical data models.
• Drive efficiency and resilience by mapping data flows, ensuring standardization, and supporting real-time event-based streaming data pipelines.
• Own end-to-end data and data applications, defining, monitoring, and handling incidents for overall system health.
• Ensure compliance with data-related requirements and accuracy through standardization and automation.
• Continuously evolve your craft by staying up-to-date with the latest developments in data engineering and promoting their application within the community.
• Responsible to meet or exceed all goals and key performance indicators (KPIs).
• Perform any other duties as requested by management.

Requirements & Qualifications:

• A bachelor's degree in computer science, MIS, or a related field is preferred.
• Minimum of 5 years of experience in data engineering or related fields using server-side programming languages like Scala and Python.
• 5+ years of experience building data pipelines and transformations at scale, utilizing technologies such as Kafka, Spark, MySQL, and Azure Data Factory.
• 5+ years of experience in data modeling and handling data streaming.
• Experience with Lakehouse architecture on cloud storage, storage layers like Delta Lake, SQL, Python, or R.
• Exemplify each of our Lovesac values, at all times, be results driven and utilize knowledge to meet or exceed key performance indicators (KPIs), goals and deadlines.
• Must be able to travel using various forms of transportation, as required by the Company in its sole discretion, for meetings and conferences held either at our offices or offsite (i.e. quarterly team connection weeks, companywide meetings).
• Must comply with all policies and procedures outlined in the Lovesac Employee Handbook and work collaboratively with fellow employees, treating all clients, both internal and external with dignity and respect at all times.
• Our customers have the opportunity to shop with us seven days a week and select positions may require availability outside of normal weekday hours.

Full Time Benefits*

• Financial Benefits: Annual Bonus Program, Annual and Inaugural Grant Equity Awards, 401K Matching Contribution, Financial Wellness Tools, Sales Incentive Program.
• Health and Wellness Benefits: Medical, Dental, Vision, Health Savings and Flexible Spending Accounts, Paid Parental Leave, Life/AD&D, Short Term and Long-Term Disability, Critical Illness and Accident Insurance, Employee Assistance Program.
• Paid Time Off: Up to 160 hours of paid time off within our fiscal calendar year, prorated from date of hire, 8 paid company recognized holidays, Summer Flex Time.
• Pet Insurance and generous Associate Discounts.

*Eligibility and terms for all benefits listed are as outlined in Lovesac's policy and plan documents.

Associate pay will vary based on factors such as qualifications, experience, skill level and competencies.

Lovesac is an Equal Opportunity Employer and considers all applicants for employment without regard to race, color, religious creed, ancestry, national origin, ethnicity, religion, sex, sexual orientation, gender (including gender-related identity, gender nonconformity, or status as a transgender or transsexual individual),, pregnancy, age, national origin, marital status, physical or mental disability, military status, genetic information or any other characteristic protected by applicable law.

Lovesac participates in E-Verify as required by law. Immigration sponsorship is not available for this role.

Lovesac is committed to the principles of equal employment opportunity and providing reasonable accommodations to candidates with disabilities. If you need an accommodation during the application process, please reach out to us at: TalentAcquisition@lovesac.com.