Associate Director, Data Engineering

Company Description

Both Performance Collective and PHM sit under the Publicis Media pillar, which is a collective group of agencies that specifically focus on Media advertising under the Publicis Groupe network. Within this collection of agencies as well as the broader network, we are uniquely positioned to not only deliver innovation to our clients as we partner together but also deliver the best-in-class opportunities and benefits to our employees. We deliver the atmosphere of a startup company, with the stability of having a parenting company in Publicis Groupe. As you can see, we are growing; in the past year alone, we have hired 1/3 of our current workforce. Currently, we operate out of four locations across the US which are New York, Chicago, Detroit, Philadelphia, and Los Angeles. LifeSpeed in particular will be based out of our New York office. 

Job Description

Responsible for developing and supporting data products, this resource plays a critical role in the design, development and management of modern, cloud-based data engineering and data warehouse solutions utilized by internal and external stakeholders.  

Key Responsibilities: 

• Create high performance data products by monetizing BI solutions, warehouse and ETL technologies 

• Work closely with different teams such as client, sales, IT, media planning and buying 

• Design, develop and productionize data engineering pipelines on a massively parallel processing (MPP) and cloud-based tech stack, utilizing solution aspects from hybrid-clouds (Azure, AWS), data lakes and multiple data warehouses. 

• Data management functions including: 

  • ETL/data feed management 

  • Metadata management 

  • Create database objects as needed (e.g. Stored procedures, Stages, Indexes) 

  • Optimization of data pipelines 

• Maintain best practices for handling, storing and using data 

• Tools:   

  • Apache Spark (Pyspark), Pandas, Python 

  • Any modern database (Oracle, SQL Server, Postgres) 

  • Good to have exposure to data visualization tools such as Tableau, PowerBI 

  • Data engineering stack on public clouds – AWS, Azure, Google 

Qualifications

Specific Skills Required: 

• Minimum 5 years SQL experience, 3 years of ETL experience 

• Python based data wrangling experience highly desired. 

• Strong data warehouse knowledge 

• Experience with large data sets 

• Experience with Web and Digital marketing data a plus 

• BS Degree in one of the following subject areas; Computer Science, Information Technology or related field preferred 

• Minimum of 5+ years of experience designing and developing BI solutions 

• Strong understanding of database structures, theories, principles, and practices 

• Strong understanding of ETL and data warehouse principles 

• Good interpersonal, written and oral communication skills 

• Technical documentation skills 

• Ability to present complex ideas in user-friendly language 

• Self-motivated and directed, with keen attention to detail 

• Able to prioritize and execute tasks in a team-oriented, high-pressure environment 

Additional Information

All your information will be kept confidential according to EEO guidelines.

Compensation Range: $106,500 - $167,500 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. For this role, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off.