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About worksphere
worksphere is a global leader in immersive entertainment solutions, delivering cutting‑edge experiences that bring people together. From interactive sports arenas to dynamic event spaces, we blend technology, design, and storytelling to create unforgettable moments. Our culture is built on curiosity, collaboration, and a relentless pursuit of innovation. At worksphere, data is not just a by‑product of our operations—it’s the engine that powers every strategic decision, from content curation to customer engagement and beyond.
Role Overview
We’re looking for a Senior Lead Data Engineer to spearhead the design, development, and maintenance of worksphere’s next‑generation data platform. This is a fully remote, full‑time position that offers the flexibility to work from anywhere while collaborating with a world‑class team of data scientists, product managers, and engineers. As a key member of our Information & Analytics group, you will shape the data architecture that fuels worksphere’s streaming services, event analytics, and customer experience initiatives.
Key Responsibilities
- Data Product Development: Lead the creation and enhancement of data products and warehouses that support customer engagement, retention analytics, and data science projects.
- ETL Pipeline Engineering: Design, build, and optimize scalable ETL pipelines for large‑scale data environments—cloud, on‑premises, or hybrid—using modern orchestration tools.
- Data Architecture Design: Architect robust data models and schemas for core data warehouses and data marts, ensuring alignment with business requirements and industry best practices.
- Cross‑Functional Collaboration: Partner closely with data product managers, data architects, and engineering teams to translate business needs into technical solutions.
- Documentation & Governance: Produce comprehensive documentation of data workflows, enforce data quality standards, and maintain governance policies.
- Operational Excellence: Monitor pipeline performance, troubleshoot issues, and implement improvements to meet SLAs and support data science and analytics teams.
- Agile Leadership: Champion agile and scrum practices, facilitating sprint planning, stand‑ups, and retrospectives to drive continuous improvement.
- Mentorship & Knowledge Sharing: Guide junior engineers, conduct code reviews, and promote a culture of learning and innovation.
Essential Qualifications
- SQL Mastery: Advanced proficiency in SQL, capable of writing complex queries for data extraction and building high‑performance datasets.
- Experience with distributed systems such as Spark, Hadoop (HDFS, Hive, PySpark), and other big‑data frameworks.
- Proficient in Python and either Java or Scala for data engineering tasks.
- Hands‑on experience with at least one major MPP or cloud database technology (e.g., Snowflake, Redshift, BigQuery).
- Strong background in data integration tools (e.g., Apache Airflow) and pipeline orchestration.
- Deep knowledge of data modeling and warehousing principles, including star and snowflake schemas.
- Familiarity with agile and scrum methodologies and a proven track record of delivering in iterative cycles.
- Excellent analytical, problem‑solving, and communication skills, with a keen eye for detail.
Preferred Qualifications
- Hands‑on experience with AWS services such as S3, EMR, and EC2.
- Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines.
- Experience with data governance frameworks and compliance standards.
- Background in the entertainment or streaming industry, understanding of content delivery networks (CDNs) and media analytics.
Technical Skills & Competencies
- Data Engineering & Architecture
- Cloud Platforms (AWS, GCP, Azure)
- Big Data Technologies (Spark, Hadoop, Hive, PySpark)
- ETL & Data Pipeline Orchestration (Airflow, Prefect)
- SQL & NoSQL Databases (Snowflake, Redshift, BigQuery, DynamoDB)
- Programming (Python, Java, Scala)
- Data Modeling & Warehousing
- Agile Project Management
- Data Governance & Quality Assurance
- Strong Analytical & Problem‑Solving Abilities
Career Growth & Learning Opportunities
At worksphere, we believe that growth is a shared journey. As a Senior Lead Data Engineer, you will have the chance to:
- Lead high‑impact projects that shape the future of worksphere’s streaming and event analytics platforms.
- Mentor junior engineers and contribute to the development of a high‑performing data engineering team.
- Participate in cross‑functional initiatives, gaining exposure to product strategy, marketing analytics, and customer experience.
- Access to continuous learning resources, including internal workshops, conference sponsorships, and a generous budget for external courses.
- Potential to transition into senior leadership roles such as Director of Data Engineering or Chief Data Officer.
Work Environment & Culture
worksphere thrives on a culture of openness, creativity, and accountability. Our remote-first approach means you’ll enjoy:
- Flexible work hours that respect your personal rhythm.
- Regular virtual team gatherings, hackathons, and knowledge‑sharing sessions.
- A collaborative environment where ideas are valued and innovation is rewarded.
- Access to cutting‑edge tools and technologies that keep you at the forefront of the data engineering field.
- A supportive community that celebrates diversity, inclusion, and personal well‑being.
Compensation & Benefits
While the base hourly rate for this role is competitive, worksphere offers a comprehensive benefits package that includes:
- Health, dental, and vision insurance (fully or partially covered).
- Retirement savings plan with company match.
- Generous paid time off and flexible vacation policy.
- Professional development stipend and tuition reimbursement.
- Wellness programs, including virtual fitness classes and mental health resources.
- Equity options for eligible employees.
- Annual performance bonuses tied to company and individual metrics.
How to Apply
If you’re passionate about building scalable data solutions that drive business growth and want to join a forward‑thinking team, we’d love to hear from you. Submit your application through our careers portal and include a resume, cover letter, and any relevant portfolio or GitHub links that showcase your data engineering work.
Closing Statement
worksphere is at the intersection of technology and entertainment, and we’re looking for a visionary data engineer who can help us unlock the full potential of our data assets. This is your chance to shape the future of immersive experiences, work with a talented global team, and grow your career in a dynamic, supportive environment. Don’t miss out—apply today and become a pivotal part of worksphere’s data‑driven journey.
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