Description

Principal Solution Architect I

Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities.

Every day we perform better because of how we work together, as one team, each the best at what we do. We bring a wide range of talented experts together across a wide range of business-critical services that support our business. Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life.

Discover what our 29,000 employees, across 110 countries already know:
WORK HERE MATTERS EVERYWHERE

Why Syneos Health

• We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
• We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people.
• We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong.

Job responsibilities
* Serves as technical lead on complex analytics projects, responsible for solution data architecture, data models and corresponding logic to harmonize disparate data sources into an effective solution
* Leverages domain experience to profile and interpret data coming from multiple systems that often lack available data dictionaries or descriptive documentation
* Guides and reviews the work of other team members, including data engineers involved in coding transformation and data ingestion logic
* Analyzes and solves data optimization issues
* Serves as the main point of contact to dashboard and report developers and works in collaboration with them to ensure that the data model design aligns with the requirements for the visual layer
* Prepares architecture and design documentation, and guides other team members on producing clear and concise solution documentation
* Conducts design and code reviews
* Prepares and delivers presentations to management that inform them of issues and opportunities with our data assets and technologies
* Provides expert level support for deployed solutions, interfacing with support staff and helping them to resolve issues within defined SLAs
* Provides input for and reviews test plans and test scripts for coverage and effectiveness
* Provides input to individuals involved in data governance, data mastering, and data cleaning
* Designs approach for ranking application risk based on current state deployment
* Manages the development of architecture standards.
* Designs future state reference architectures that will provide a template for teams to achieve security, scalability, reliability, and maintainability.
* High-level analysis, profiling, and reporting on application health in application portfolio.
* Develops and maintains a method for architecture assessment and identifies tactical remediation and long-term future state architecture for applications
* Promotes adoption of application development and DevOps best practices
* Presents findings and recommendations to Enterprise Architecture and Steering Group.

Qualifications

What we're looking for
* Experience demonstrating an increasing level of technical lead responsibility delivering complex analytical solutions in life sciences, preferably in the clinical trial domain.
* The candidate must have substantial hands-on SQL development experience using at least two distinct data platforms.
* Experience with Hive and Microsoft SQL server are preferable.
* The candidate will have a BA/BS, preferably in computer science or engineering.
* Experience creating relational data models and a solid understanding of data modeling best practices is also required.
* Experience with healthcare data sources, preferably with clinical trial systems and databases.
* Experience with BI tools and platforms, as well as with R, Python, Spark and data science libraries is desirable.
* Direct experience designing and implementing analytical solutions used in the conduct of clinical trials are preferred.

Get to know Syneos Health
Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about .

Additional Information:
Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.