What are the responsibilities and job description for the Sr. Principal / Lead Software Engineer (Full Stack – Data Analytics) position at Veracity Software Inc?
Sr. Principal / Lead Software Engineer (Full Stack - Data Analytics)
Location: Ridgefield, Connecticut, United States
Work Model: Hybrid (2-3 days onsite per week)
Employment Type: Full-Time
Join our Enterprise Data, AI & Platforms (EDP) team and help drive the digital transformation of data and analytics across a global pharmaceutical leader. The Sr. Principal / Lead Full Stack Software Engineer will design, develop, and deliver end-to-end, cloud-based data analytics applications that empower data-driven decision-making.
You'll combine strong full stack engineering expertise with a passion for data, AI, and digital health innovation, collaborating with cross-functional teams to create scalable, secure, and high-performing software solutions.
This role can be filled at either Lead or Sr. Principal level depending on experience and leadership scope.
Ideal Candidate
Ideal candidate local to our site, full stack lead or experienced development in data analytics.
Excellent communication and team collaboration skills are necessary
Must have AWS Cloud Experience
At least 7 years of experience, more is fine too
Hands on Data pipeline creation - ETL / ELT (AWS Glue, Databricks, DBT). Also Build & Maintain backend systems using lambda, API Gateway and more
Front End visualization experience - Tableau, PowerBI
Key Responsibilities
For Sr. Principal Level:
Location: Ridgefield, Connecticut, United States
Work Model: Hybrid (2-3 days onsite per week)
Employment Type: Full-Time
Join our Enterprise Data, AI & Platforms (EDP) team and help drive the digital transformation of data and analytics across a global pharmaceutical leader. The Sr. Principal / Lead Full Stack Software Engineer will design, develop, and deliver end-to-end, cloud-based data analytics applications that empower data-driven decision-making.
You'll combine strong full stack engineering expertise with a passion for data, AI, and digital health innovation, collaborating with cross-functional teams to create scalable, secure, and high-performing software solutions.
This role can be filled at either Lead or Sr. Principal level depending on experience and leadership scope.
Ideal Candidate
Ideal candidate local to our site, full stack lead or experienced development in data analytics.
Excellent communication and team collaboration skills are necessary
Must have AWS Cloud Experience
At least 7 years of experience, more is fine too
Hands on Data pipeline creation - ETL / ELT (AWS Glue, Databricks, DBT). Also Build & Maintain backend systems using lambda, API Gateway and more
Front End visualization experience - Tableau, PowerBI
Key Responsibilities
- Full Stack Development: Design, develop, and maintain front-end and back-end components of full-scale data analytics applications using modern programming languages and frameworks.
- Cloud & Data Integration: Build robust data pipelines (ETL/ELT) leveraging AWS Glue, Databricks, and DBT; integrate APIs and backend services via AWS Lambda and API Gateway.
- Visualization & Analytics: Develop user-facing dashboards and reports using Tableau, Power BI, or other front-end visualization tools.
- Architecture & Best Practices: Follow enterprise architecture frameworks, implement security, scalability, and performance standards, and support continuous integration/delivery (CI/CD) pipelines using Git, Jenkins, Docker, and Kubernetes.
- Agile Delivery: Collaborate closely with product owners, data scientists, and business teams to deliver high-quality, iterative releases using Agile methodologies.
- Testing & Quality Assurance: Design and execute comprehensive testing frameworks ensuring reliability, performance, and data accuracy.
- Innovation & Mentorship: Act as a technical thought leader, mentoring junior engineers, and promoting best practices across development teams.
For Sr. Principal Level:
- Associate's degree in Computer Science, MIS, or related field with 11 years of IT experience OR Bachelor's with 9 years, OR Master's with 7 years, OR 11 years equivalent IT/business experience
- Minimum 6 years of programming experience
- Bachelor's or Master's degree in Computer Science, MIS, or related field
- 5-10 years of progressive IT and software development experience
- Cloud Platforms: AWS Cloud (Glue, Lambda, API Gateway, S3, Redshift, EC2)
- Data Engineering: ETL / ELT pipelines (AWS Glue, Databricks, DBT)
- Visualization: Tableau, Power BI
- DevOps & CI/CD: Git, Jenkins, Docker, Kubernetes
- Programming: Python, JavaScript, TypeScript, or similar full stack languages/frameworks
- Security & Environments: Familiar with IT security standards, container platforms, and multi-stage environments (DEV, QA, STAGING, PROD)
- Agile Development: Experience working in Agile teams and iterative software delivery
- Experience in pharmaceutical or digital healthcare software development
- Experience with AI/ML model integration or data science analytics applications
- Demonstrated thought leadership, innovation, and ability to drive best practices
- Strong communication, collaboration, and problem-solving abilities