About workpinnacle
workpinnacle is a global leader in entertainment‑driven technology, delivering immersive digital experiences to millions of fans worldwide. Our innovative platforms power streaming services, interactive media, and next‑generation content delivery, blending creativity with cutting‑edge data science. As part of our rapid expansion, we are building a world‑class data ecosystem that fuels personalized experiences, operational excellence, and strategic growth. Join a forward‑thinking team where data is the heartbeat of every decision, and where your contributions directly shape the future of digital entertainment.
Why This Role Matters
In today’s data‑centric landscape, the ability to collect, process, and analyze massive volumes of information is a competitive advantage. As a Lead Data Engineer at workpinnacle, you will spearhead the design and implementation of robust data pipelines, warehouses, and analytics solutions that empower product, marketing, and operations teams to make data‑driven decisions. This role sits at the intersection of technology and business, offering you the chance to influence product strategy, improve customer experiences, and drive revenue growth across our global platforms.
Key Responsibilities
- Architect and develop data products: Lead the end‑to‑end design of data products and data lakes that support the workpinnacle Commitment and Maintenance Analytics and Data Science initiatives.
- Build scalable ETL pipelines: Create, optimize, and maintain high‑performance ETL pipelines in large‑scale data environments (cloud, on‑premises, hybrid).
- Leverage modern data stack: Work with Hadoop, AWS, Snowflake, Flink, and Kafka, writing code in Python, Scala, and Java to transform raw data into actionable insights.
- Collaborate with cross‑functional teams: Partner with Product Data Owners, Data Modelers, and Data Architects to design, implement, and deliver reliable data solutions.
- Maintain data quality and governance: Document data lineage, enforce data quality standards, and support data governance initiatives to ensure trustworthy analytics.
- Ensure performance and reliability: Meet Service Level Agreements (SLAs) and uphold high availability for critical data services supporting analytics, data science, and operational teams.
- Drive Agile practices: Actively participate in Scrum ceremonies, contribute to sprint planning, and continuously improve team velocity and delivery quality.
- Mentor and lead: Provide technical guidance, code reviews, and mentorship to junior engineers, fostering a culture of learning and excellence.
Essential Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).
- Strong proficiency in SQL with the ability to craft complex queries for large datasets.
- Hands‑on experience with big‑data frameworks such as Hadoop (HDFS, Hive, Impala, PySpark) and streaming platforms like Apache Flink or Kafka.
- Proficient programming skills in Python and either Java or Scala.
- Experience designing and operating data warehouses or MPP/cloud data platforms (e.g., Snowflake, Redshift, BigQuery).
- Familiarity with data pipeline orchestration tools and data integration frameworks.
- Understanding of data modeling, data warehousing best practices, and dimensional modeling techniques.
- Exposure to Agile and Scrum methodologies, with a collaborative mindset.
Preferred Qualifications & Additional Skills
- Hands‑on experience with AWS services such as S3, EMR, EC2, and Lambda.
- Knowledge of containerization (Docker, Kubernetes) for deploying data services.
- Experience with CI/CD pipelines for data engineering (e.g., Jenkins, GitLab CI).
- Background in data analytics or data science, enabling close partnership with data scientists.
- Strong problem‑solving abilities, attention to detail, and excellent communication skills.
- Passion for staying current with emerging data technologies and industry trends.
Core Competencies for Success
- Technical Excellence: Ability to design robust, scalable architectures and write clean, maintainable code.
- Analytical Thinking: Translate business requirements into technical specifications and data solutions.
- Collaboration: Work seamlessly with product managers, analysts, and engineers across multiple time zones.
- Adaptability: Thrive in a fast‑moving environment where priorities shift and new challenges emerge daily.
- Leadership: Inspire teammates, share knowledge, and champion best practices.
Career Growth & Learning Opportunities
workpinnacle invests heavily in the professional development of its employees. As a Lead Data Engineer, you will have access to:
- Mentorship from senior architects and industry veterans.
- Sponsored certifications (e.g., AWS Certified Data Analytics, SnowPro Core).
- Internal tech talks, hackathons, and data‑focused community events.
- Opportunities to transition into senior architect, data platform manager, or data science leadership roles.
- Cross‑functional projects that broaden your expertise beyond data engineering, such as product development and AI initiatives.
Work Environment & Culture at workpinnacle
Our San Francisco office blends a vibrant, collaborative atmosphere with flexible work arrangements. Key cultural pillars include:
- Innovation First: We encourage experimentation and reward creative problem‑solving.
- Inclusivity: Diverse perspectives are celebrated, and every voice is heard.
- Work‑Life Balance: Competitive paid time off, remote‑work options, and wellness programs support a healthy lifestyle.
- Community Impact: workpinnacle partners with charitable organizations, offering employees avenues to give back.
Compensation, Perks & Benefits
We offer a competitive hourly rate of $24 per hour, reflecting the value we place on skilled data professionals. In addition to base compensation, you will receive:
- Comprehensive health, dental, and vision insurance.
- Retirement savings plan with company matching.
- Generous paid parental leave and family‑friendly policies.
- Employee stock purchase program and performance‑based bonuses.
- Professional development stipend for courses, conferences, and certifications.
- On‑site amenities such as catered meals, fitness center access, and relaxation zones.
How to Apply
If you are ready to lead the next generation of data solutions at a dynamic entertainment‑technology powerhouse, we want to hear from you. Click the link below to submit your application, attach your resume, and share a brief cover letter highlighting your most relevant experience.
Apply Now – Join workpinnacle Today!
Closing Statement
workpinnacle is committed to building a diverse and inclusive workforce where talent thrives. We encourage candidates of all backgrounds to apply. Take the next step in your career and become a pivotal part of a team that transforms data into unforgettable experiences for audiences around the globe.
Apply for this job