Lead Data Engineer – Big Data Solutions & Cloud Data Warehouse Architecture at careerzynith

About careerzynith – Pioneering Data‑Driven Experiences

careerzynith is a global leader in entertainment, media, and technology, delivering immersive experiences to millions of fans worldwide. With a legacy of storytelling excellence and a relentless focus on innovation, careerzynith leverages data to power everything from content recommendation engines to real‑time audience analytics. As the company expands its digital footprint, the need for robust, scalable data platforms has never been greater. Join a team that transforms raw information into actionable insights, fuels creative decision‑making, and shapes the future of interactive entertainment.

Role Overview – Lead Data Engineer

careerzynith’s Information and Investigation group, part of the careerzynith Web‑Based Features division, is seeking a visionary Lead Data Engineer. In this senior technical role you will architect, build, and maintain cutting‑edge data solutions that support a variety of business units, including product configuration, advertising effectiveness, customer acquisition, and new‑market expansion. You will lead a talented team of data engineers, collaborate with data product owners, data modelers, and data architects, and ensure that our data pipelines deliver high‑quality, reliable information at scale.

Key Responsibilities

• Data Platform Architecture: Design and evolve end‑to‑end data warehousing solutions that span on‑premise, cloud, and hybrid environments, ensuring they meet performance, security, and compliance requirements.
• ETL/ELT Development: Build, optimize, and maintain robust ETL pipelines using technologies such as Hadoop, Spark, AWS Glue, Snowflake, and Flink to ingest, transform, and load massive data sets.
• Technology Stack Management: Champion the use of Hadoop, AWS (S3, EMR, EC2), Snowflake, Flink, and related ecosystems while continuously evaluating emerging tools and frameworks.
• Collaboration & Leadership: Partner with Data Product Managers, Data Modelers, and Data Architects to translate business requirements into scalable data models and solutions.
• Documentation & Governance: Maintain comprehensive documentation of data pipelines, schemas, and data lineage to support data quality, governance, and auditability.
• Performance & SLA Management: Monitor system performance, troubleshoot bottlenecks, and ensure that service‑level agreements (SLAs) are consistently met for internal and external stakeholders.
• Agile Participation: Actively contribute to Scrum ceremonies, sprint planning, and retrospectives, promoting continuous improvement and rapid delivery cycles.
• Mentorship & Team Development: Coach junior engineers, foster a culture of knowledge sharing, and lead technical design reviews.

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).
• 5+ years of hands‑on experience designing and implementing large‑scale data solutions in a production environment.
• Deep expertise in SQL and the ability to craft performant queries across relational and analytical databases.
• Proficiency in programming languages such as Python, Java, or Scala, with a track record of building reliable data pipelines.
• Extensive experience with Hadoop ecosystem components (HDFS, Hive, Spark, PySpark) and cloud data platforms (AWS, Snowflake, Redshift, BigQuery).
• Demonstrated experience with data integration tools and streaming technologies (e.g., Flink, Kafka, Kinesis).
• Strong understanding of data modeling principles, dimensional modeling, and data warehousing best practices.
• Hands‑on experience with data orchestration tools (Airflow, Luigi, AWS Step Functions) and CI/CD pipelines for data engineering.
• Familiarity with Agile and Scrum methodologies, including the ability to work effectively in a fast‑paced, cross‑functional team.

Preferred Qualifications

• Master’s degree or advanced certifications in data engineering, cloud architecture, or big‑data technologies.
• Experience leading a data engineering team or managing large‑scale data projects from inception to production.
• Knowledge of data governance frameworks (e.g., Collibra, Apache Atlas) and data security best practices.
• Exposure to machine‑learning pipelines and collaboration with data science teams.
• Hands‑on experience with containerization (Docker, Kubernetes) for deploying data workloads.
• Publications, open‑source contributions, or speaking engagements in the data engineering community.

Core Skills & Competencies

• Analytical Mindset: Ability to dissect complex business problems and translate them into elegant data solutions.
• Problem‑Solving: Proactive approach to identifying root causes, optimizing performance, and delivering resilient pipelines.
• Communication: Clear articulation of technical concepts to both technical and non‑technical audiences.
• Collaboration: Strong teamwork skills, with a focus on building partnerships across product, analytics, and engineering teams.
• Leadership: Demonstrated capacity to inspire, mentor, and guide engineers toward shared goals.
• Adaptability: Comfort with evolving technology stacks and willingness to experiment with new tools.

Compensation, Perks & Benefits

careerzynith offers a competitive compensation package that includes a base hourly rate of $24, performance bonuses, and equity participation. In addition, employees enjoy a comprehensive benefits suite:

• Health, dental, and vision insurance with generous employer contributions.
• Retirement savings plans with company matching.
• Flexible paid time off, parental leave, and holiday schedules.
• Professional development budget, tuition reimbursement, and access to industry conferences.
• Wellness programs, on‑site fitness facilities, and mental‑health resources.
• Remote‑work flexibility and modern collaborative workspaces in San Francisco.
• Employee discount programs for careerzynith entertainment experiences.

Career Growth & Learning Opportunities

At careerzynith, your career trajectory is shaped by your ambition. As a Lead Data Engineer you will:

• Gain exposure to high‑impact projects that influence global product strategy.
• Lead cross‑functional initiatives that bridge data engineering, data science, and product development.
• Participate in mentorship programs, technical workshops, and internal hackathons.
• Access a clear promotion pathway toward Senior Architect, Director of Data Engineering, or Chief Data Officer roles.
• Collaborate with industry‑leading experts and contribute to open‑source projects.

Work Environment & Culture at careerzynith

careerzynith fosters an inclusive, innovative, and collaborative culture where curiosity is celebrated. Our teams operate in an environment that encourages:

• Creative problem‑solving and experimentation.
• Transparent communication and feedback loops.
• Diversity of thought, background, and experience.
• Work‑life balance through flexible scheduling and remote‑work options.
• Community involvement and volunteer initiatives.

Why Join careerzynith?

If you are passionate about turning massive data sets into strategic assets, thrive in a fast‑moving tech ecosystem, and want to make a tangible impact on the entertainment industry, careerzynith is the place to amplify your career. You will be part of a visionary organization that values data as a core driver of storytelling, innovation, and business growth.

Ready to Shape the Future of Data at careerzynith?

Take the next step in your professional journey. Submit your application today and become a catalyst for data‑powered experiences that delight audiences worldwide.

Apply Now