Director, Data Engineering

Company Description

At Publicis LifeSpeed, it is both our model and culture to establish fully integrated cross-discipline teams that put our clients wholly at the center and enable us to provide best-in-class services in a fluid and modular way. Publicis LifeSpeed uses living data to create brand movements at the speed of people’s lives. We move faster, create movements, and deploy real time data that connects world class creative to content and media in service of growth and ROI.

As part of Publicis Media, our leadership is defined by experience, commitment, and continuity across our vast network. Helming our agencies and teams are some of the most seasoned experts in the industry, committed to doing the best for our people and our clients every day, and bound together by our inclusive and humane culture. No matter whether we’re recruiting new talent or devising new media campaigns for our clients, we put the humanity and identity of real people at the forefront of everything we do. And our peerless history of continuous learning and innovation means we never stand pat.

Publicis Media is the #1 media network in North America, made of a family of world-class media agencies, solutions, and talent. Together, we comprise more than 23,000 people in more than 60 countries, united to serve the world’s best-known and most successful brands.

Job Description

Responsible for developing and supporting data products, this resource plays a critical role in the development of data warehouse/data lake solutions utilized by internal and external stakeholders. Design and develop warehouse solutions built on the Microsoft SQL Server and AWS technology stacks.  These solutions include ETL, data modeling, data quality assessment and data delivery.  

 

Key Responsibilities: 

• Create high performance data products by monetizing warehouse and ETL solutions using SSIS, python and Spark 

• Performance tuning and optimization of ETL, SQL and database structures 

• Design and develop tables, views, triggers, indexes, constraints and stored procedures 

• Monitor long running transactions and can optimize query executions using best practices and methodologies 

• Assist/support in the design process on an as needed basis 

• Design data models for enterprise-wide data integration incorporating: 

  • Structured and unstructured data 

  • Real time, on-demand, batch and varying timing schedules 

• Build data flow automation to retrieve, transform and load data 

• Manage data warehouse structure and file storage rules 

• Data management functions including: 

  • Metadata management 

  • Create, alter, delete, grant permissions, indexing, updating 

  • Query tuning 

• Maintain best practices for handling, storing and using data 

• Tools:   

  • SQL Server/SSIS 

  • Python/Java 

  • Web Analytics Platforms – Google, Adobe, etc. 

  • BI Platforms – Tableau, Datorama, etc 

  • Cloud Technologies – AWS, Azure, Google

Qualifications

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

• Minimum of 5+ years of experience developing large scale complex database solutions 

• Demonstrated experience with BI database design 

• Ability to track and resolve database related incidents as well as requests 

• 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 

 

Specific Skills Required: 

• Minimum 6 years SQL experience, 5 years of ETL experience, 7 years analyzing data sets 

• Strong data warehouse knowledge 

• Experience with JSON, XML, ORC,AVRO and Parquet file formats 

• Experience with large data sets 

• Java, C# or R experience a plus 

• Experience with REST API calls 

• Experience with Web and Digital marketing data a plus 

Additional Information

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

Compensation Range: $130,000 - $204,500 annually. This is the pay range