PHM is the leading health media agency in the US. We are designed for—and dedicated to—delivering best-in-class solutions that connect people with meaningful health and wellness solutions every day. Guided by our genuine passion for health and wellness, our work across the entire media ecosystem helps real patients navigate the most pivotal moments of their healthcare journeys. 

At PHM, we sit squarely at the intersection of Publicis Health, the largest Healthcare Communications network in the world, and Publicis Media, the number one buyer of media in the US. This gives us access to talent, technology and data to help us deliver the market-leading solutions that give our clients true competitive advantage.  

While we have grown to be the No. 1 agency in our industry, at heart we're still a startup. It's that energy and spirit of innovation that allows us to create bold and meaningful "health media firsts" for our clients, and to do it all with #phmlove. 

At Publicis Health, we are united around one purpose: to create a world where people are equipped and motivated to take control of their health. We transform healthcare marketing and communications into healthcare engagement. We believe healthcare marketing is healthcare, fostering healthy conversations, healthy behaviors and healthy people.

ny Description

The Director of Technology is 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.

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:

o   Structured and unstructured data

o   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:

o   Metadata management

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

o   Query tuning

·       Maintain best practices for handling, storing and using data

·       Tools: 

o   SQL Server/SSIS

o   Python/Java

o   Web Analytics Platforms – Google, Adobe, etc.

o   BI Platforms – Tableau, Datorama, etc

o   Cloud Technologies – AWS, Azure, Google

Minimum Requirements:

·       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 Description