Principal Data Engineer

Principal Engineer - Data Platform (Remote - US /Canada based W2 position)

You will be owning the entire data strategy and Data Platform of Freestar that interfaces with multiple products such as Pubfig, Prebid Server and Mediation Platform. At Freestar, the Data Platform team manages real time streaming for event processing and batch processing for aggregation (roll-up) and data ingestion using google managed technologies such as PubSub, Cloud dataflow, Cloud Composer, Bigquery, etc. You will be mentoring and leading a 6-8 member team and closely working with an engineering manager to deliver the data engineering technical roadmaps and supporting data system monitoring, cost optimization and performance.

Pathway to Success

• Take the needs and challenges of the business requirements and formulate the technical roadmap and technology solution that will support their business strategies and goals.
• Provide architectural recommendations, solution and approach given tradeoffs and ability to communicate that to the business.
• Quickly gain an understanding of the landscape of tools and data frameworks so as to recommend next steps, approach (such as real-time streaming, batch, workflows, etc.)
• Credentialize roadmap and architecture
• Enhance Data Engineering capability through coaching, mentoring and leadership
• Co-create and shape strategy and approach to engagements to achieve the desired business outcomes
• Collaborate with cross departmental team in the org to learn and share best practices and techniques
• Provide technical leadership in an enterprise environment to ensure delivery of exceptional technical solutions.
• Mentor on approach and execution of solutions, coach on technologies and establishing a team-wide comprehension of solution capabilities and direction.
• Ensure technical expectations of deliverables are met.
• Maintaining strong expertise and knowledge of current and emerging technologies and products.
• Qualifications *
• You are equally happy coding as leading a team to implement a solution!
• You have a track record of innovation and execution in Data Engineering
• You have a deep understanding of data modeling and experience with data engineering and have built large-scale data pipelines and data-centric applications using Big Data tooling platforms such as Kafka, Pub/Sub, and Cloud Dataflow, Apache Airflow, Apache Beam, Hadoop, Spark, Hive, Kinesis, Redshift, S3 and/or HDFS, BigQuery, Dataprep, Composer, etc.
• You have demonstrated experience designing and implementing complex data pipelines in a cloud environment such as GCP, AWS or Azure.
• Hands-on experience with event streaming with modern event streaming tooling like Google Dataflow, Pub/Sub, Kafka, Kinesis, Glue, etc
• Understanding of when streaming vs. batch processing is appropriate, and tradeoffs in a given context
• Hands-on experience with MPP query engines like Presto, BigQuery, and Spark SQL.
• You are comfortable applying data security strategy to solve business problems
• You are able to contrast the use of managed services vs custom built ones

"Good to Have" experience

• Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Big Table, etc)
• Experience with schema design, dimensional data modeling and data engineering concepts.
• Experience with analytics stacks include Looker, Tableau, Redash, etc
• Experience designing, building, and maintaining data processing systems
• Previous background in the ad tech or media landscape (linear, digital, or social) is a plus

What You Can Expect In Return

• Full-Time, Salaried Position
• Working remotely
• Generous Medical, Dental, and Vision benefits
• 401K with company match, vested immediately

The opportunity to be part of something high value, high impact, and high growth...Who doesn't love that!

Freestar is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.