In Research and Pre-clinical Development IT, we deliver complex enterprise systems to help Research Scientists at Regeneron solve their toughest business problems. We bring together multi-disciplinary, highly skilled technical teams to deliver high-quality system solutions and services that deliver business value. The Sr Principal IT Data Analyst (Data Solution Partner) with rich experience building Data Centric Solutions is a key role on the team, enabling science by leading and contributing to full software lifecycle; architecture, design, implementation, testing and deployment of Scientific Data Applications that add demonstrable value and impact to the scientific operations of Research & Pre-clinical Development (R&pD) functions at Regeneron.
You will be an integral team member to leverage our data platform, working closely with other team members as well as our scientists to organize/manage/transform our biology data in a way to enable our scientists to gain scientific insights easier and faster. You will also contribute to design and implement the cross functional data solution including visualization platform to serve research data/information/knowledge to our scientists in a user-friendly fashion.
Our current Data Platform Tech stack includes Spotfire, Spark, Python, AWS EMR, AWS MWAA, AWS Redshift, AWS RDS Postgres Aurora, Dremio.
As a Sr Principal IT Data Analyst, a typical day may include the following:
- Collaboration with Data SMEs and Scientists to improve data models, increasing data accessibility and promoting data-driven decision making.
- Hands-on Technologist with skill to design, develop and maintain scalable data solution for new Data Product & support continuing increases in data volume and complexity.
- Defining and driving adoption of best practices in Data Solution & Architecture.
- Defining Data models & building Data product pipeline as script in PySpark.
- Performing data analysis required to troubleshoot data related issues, root cause analysis and assisting with resolution of data issues.
- Driving unification of Reference, Category, and Master Data to increase Data Quality.
- Acting as an expert technical resource for Data Application Solution.
- Maintaining strong expertise and knowledge of current and emerging technologies and products; evaluating AWS Services, Opensource & Vendor tools and implementing new technologies.
- Mentoring on approach and execution of solutions, coaching on technologies, and establishing a team-wide comprehension of solution capabilities and direction.
This May Be the Right Role for You If you:
- Continuously identify opportunities for improving processes and solutions, including the consolidation of similar security needs.
- Collaborate with the team to implement technical best practices, policies, and procedures.
- Have ability to lead training initiatives, demonstrating a capacity to educate teams.
- Have excellent problem-solving skills and attention to detail.
- Excellent verbal and written communication skills, and ability to effectively interact with all personnel, ability to work autonomously and in groups, highly organized, deadline-oriented, continuous-improvement mindset.
- Ability to develop and maintain highly effective relationships and influence others to achieve goals.
To be considered for this role, you must have an advanced degree in Biology and/or advanced degree in Computer Science. 3+ years of Data pipeline development experience with Spark (PySpark), Redshift, & Airflow or other data platform technologies. 5+ years of SQL experience & No-SQL experience. 5+ years of experience with schema design and dimensional data modeling. 3+ years of Data Lake, Datawarehouse & BI Tools (Spotfire preferable) experience. Deep biology knowledge and experience in managing biology data is a must. Experience working on Big Data Platform (EMR & Hadoop preferable) of any size/scale. Ability in managing and communicating BI, Big Data, Data Lake, Datawarehouse concepts to different stakeholders. Experience inspiring software development teams. Demonstrable skill in collaborating with other IT teams, vendor partners, internal collaborators, and architects to deliver solutions; advocacy for a DevOps approach to the software development lifecycle. Solid understanding of the practical application of Agile development methods and leading software development teams in an Agile/Lean/Continuous Delivery environment. Ability to formulate and articulate the technical and political implications of creating and delivering transformative technical solutions in an innovative, high-growth, demanding business area. Experience working directly with senior IT leaders in an advisory role on technical strategies. Interest in and experience mentoring junior developers and driving technical discussions and decisions. Must be onsite at least 3 days a week.
#J-18808-Ljbffr