Senior Data Engineering & Analytics Lead – Data Pipeline Architect, Insight Strategist, and Business Intelligence Champion at brighthush

About brighthush

brighthush is not just a streaming platform; it is a global entertainment ecosystem that redefines how audiences discover, consume, and interact with stories. With a library that spans blockbuster movies, award‑winning documentaries, and original series, brighthush delivers immersive, personalized experiences across web, mobile, and interactive media. Our mission is to fuse cutting‑edge technology with creative brilliance, creating a seamless, data‑driven journey for every viewer. At the heart of this mission lies a culture that values curiosity, experimentation, and the relentless pursuit of insight.

Why Join brighthush?

In the fast‑evolving world of entertainment, data is the engine that powers creative decisions, product enhancements, and customer engagement strategies. As a Senior Data Engineering & Analytics Lead, you will be the linchpin of this data ecosystem, turning raw numbers into actionable stories that shape the future of content. If you thrive in a collaborative, high‑velocity environment where curiosity and innovation are rewarded, brighthush offers the platform, the people, and the purpose to elevate your career.

Key Responsibilities

• Data Stewardship: Own and maintain brighthush’s core data models, ensuring accuracy, consistency, and accessibility across product, engineering, and marketing teams.
• Pipeline Design & Implementation: Architect, build, and optimize end‑to‑end data pipelines that ingest, cleanse, and transform large volumes of user activity, transaction logs, and third‑party metrics.
• Cross‑Functional Collaboration: Partner with software engineers, product managers, and data scientists to embed data logging, real‑time analytics, and reporting capabilities into new features and platform updates.
• Insight Generation: Translate complex datasets into clear, visual dashboards and reports using Tableau, Power BI, or Looker, enabling stakeholders to make data‑driven decisions.
• Stakeholder Communication: Present findings, trends, and recommendations to executives, product teams, and technical staff, tailoring the narrative to diverse audiences.
• Continuous Improvement: Identify gaps in data quality, propose schema enhancements, and implement automated validation checks to maintain data integrity.
• Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, schemas, and best practices, fostering a culture of transparency and learning.
• Innovation Leadership: Evaluate emerging data technologies, propose pilots, and lead the adoption of new tools that enhance data velocity, quality, and accessibility.

Essential Qualifications

• 5+ years of experience in data engineering, data analysis, or a related role within a high‑growth tech or media environment.
• Proficiency in SQL, Python, and big‑data frameworks such as Apache Spark or Hadoop.
• Hands‑on experience building and maintaining data pipelines, ETL processes, and data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Strong statistical background, including familiarity with hypothesis testing, A/B testing, and predictive modeling.
• Expertise in data visualization tools (Tableau, Power BI, or similar) and the ability to create intuitive, stakeholder‑friendly dashboards.
• Excellent written and verbal communication skills, with a proven track record of presenting complex data insights to non‑technical audiences.
• Self‑motivated, detail‑oriented, and comfortable working independently while collaborating across cross‑functional teams.

Preferred Qualifications

• Experience with cloud data platforms (AWS, GCP, Azure) and CI/CD pipelines for data workflows.
• Knowledge of machine learning pipelines and model deployment in production environments.
• Familiarity with streaming data technologies such as Kafka or Flink.
• Background in the entertainment or media industry, understanding viewer behavior and content monetization metrics.
• Certifications in data engineering or analytics (e.g., Google Cloud Professional Data Engineer, AWS Big Data Specialty).

Core Skills & Competencies

• Data Architecture & Modeling
• ETL & Data Integration
• Data Quality Assurance & Validation
• Advanced SQL & Python Programming
• Statistical Analysis & Experimentation
• Data Visualization & Storytelling
• Cross‑Functional Collaboration
• Problem‑Solving & Critical Thinking
• Adaptability & Continuous Learning

Career Growth & Learning Opportunities

At brighthush, professional development is a shared journey. You will have access to:

• Internal training programs covering advanced analytics, cloud technologies, and emerging media trends.
• Mentorship from senior data scientists, product leaders, and engineering managers.
• Opportunities to lead cross‑team initiatives, such as data platform modernization or new feature rollouts.
• Conferences, workshops, and certifications funded by the company.
• A clear career ladder that can lead to roles such as Lead Data Engineer, Data Analytics Manager, or Director of Data Science.

Work Environment & Culture

brighthush fosters a culture built on freedom, responsibility, and innovation. Our remote‑first model means you can work from anywhere while staying connected through:

• Weekly virtual stand‑ups and monthly all‑hands meetings.
• Collaborative tools like Slack, Miro, and Notion.
• Flexible work hours that accommodate different time zones and personal commitments.
• A commitment to psychological safety, encouraging candid feedback and continuous improvement.
• Regular team‑building events, hackathons, and creative brainstorming sessions.

Compensation & Perks

We offer a competitive total rewards package designed to attract top talent and support your well‑being:

• Base salary of $72,000 per year, with performance‑based bonuses.
• Health, dental, and vision insurance plans for you and your family.
• Wellness stipend covering gym memberships, meditation apps, or home office upgrades.
• Paid time off, including vacation, sick leave, and personal days.
• Parental leave and family‑support programs.
• Free brighthush subscription for you and a family member, giving you access to our entire content library.
• Employee assistance programs, including counseling and mental health resources.

Ready to Shape the Future of Entertainment?

If you’re passionate about turning data into stories that drive business growth, and you thrive in a collaborative, forward‑thinking environment, we’d love to hear from you. Submit your resume and a cover letter that showcases your data‑driven achievements to brighthush today. Join us and help us create the next generation of immersive, personalized entertainment experiences.