Senior Director Data Engineering

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Pluto TV, a Paramount™ Global (formerly ViacomCBS) Streaming company, is the leading free streaming television service in America, delivering 250+ live and original channels and thousands of on-demand movies in partnership with major TV networks, movie studios, publishers, and digital media companies. Pluto TV is available on all mobile, web and connected TV streaming devices and millions of viewers tune in each month to watch premium news, TV shows, movies, sports, lifestyle, and trending digital series. Headquartered in West Hollywood, Pluto TV has offices in New York, Silicon Valley, Chicago and Berlin.

Overview & Responsibilities
Do you love working with data? Are you interested in Data Science, Analytics, and Engineering? Do you have a proven track record of leading a team of engineers? If so, Pluto TV, a Paramount™ Global company offers an opportunity to unleash those skills across media environments spanning News, Entertainment, Sports - to name a few. As a Senior Director, Data Engineering, you will be part of a high-performing team within the Data Insight Group's Data Management and Engineering team. You will be collaborating with Business Intelligence, Advanced Analytics, Marketing, Finance, Product, and other engineering teams, building out scalable Data products and solutions that power business decisions.

Responsibilities

• Technical lead for strategic initiatives on data in support of Paramount Global™ /Pluto TV Streaming group and advocate solutions across business units
• Present the team’s work (in writing and orally) to key stakeholders and manage the pipeline/ inflow of planned and ad hoc requests from stakeholders
• Aligned with the stakeholder leadership team's vision and strategy, you will create, communicate, and steer annual roadmaps containing key short term, intermediate range, and long-term strategic projects that add value to the business
• Recruit, provide leadership, coaching, mentorship, and visibility to a diverse team of Data/Software Engineers
• Conduct regular skill assessments and job development sessions with team members to help them grow in their careers
• Collaborate with other Engineering leaders across Paramount Global™ to determine best practices, opportunities for collaboration around data management, software engineering, and infrastructure
• Plan and be accountable for delivering systems and tools that extract patterns from large data sets and transform data into an informational advantage and implement them into live systems
• Partner with business users, product, marketing, data analytics, and data science teams in delivering a data engineering roadmap that supports sustainable growth & retention for the business

Basic Qualifications

• BS degree in Statistics, Engineering, Informatics, Computer Science or related quantitative field, with a demonstrated passion for data science and data engineering
• 5+ Years and strong experience in one of these components: Data Engineering, Software Development, Data Science, or Big Data Architecture
• 6+ years leading a team of engineers with various backgrounds
• Solid experience with data engineering, architecture on big data platforms as well as sound software engineering principles
• Experience working in a cloud platform (Google Cloud Platform, AWS preferred)
• Experience with Big Data Management systems (BigQuery, Snowflake, Teradata)
• Experience in Python and Python Web and/or MVC frameworks
• Skillful in large-scale data in structured and unstructured environments
• Possess the ability and drive to learn new tools, frameworks, and technologies and stay on top of data science and management trends
• Experience in Agile Methodology and tools
• Proactive and strategic thinker with strong written and verbal communication skills

Additional Qualifications

• Experience with Github and/or other version control systems
• Familiarity with exploratory data analysis using tools like Jupyter Labs, Pandas & matplotlib, etc.
• Understanding of and experience with Apache Airflow.
• Understanding of and experience with Adobe Analytics (Omniture) or Google Analytics
• Experience working with Log Level Datasets