Lead Data Engineer
Job Summary
Job Description
Brillio is seeking a highly skilled and consultative Lead Data Engineer with deep experience in Data Warehousing and Informatica to lead data integration initiatives for a Life Science practice. The role involves leading the design, development, and optimization of ETL workflows using Informatica PowerCenter and IICS, architecting high-performance, scalable solutions on Snowflake Data Warehouse, and designing robust data models. The Lead Data Engineer will act as a strategic advisor to business stakeholders, driving insights and business outcomes through data, and partnering with line-of-business leaders to identify and prioritize opportunities for data engineering to deliver measurable value. Responsibilities include leading a team of data engineers, translating unstructured problems into scalable data solutions, delivering presentations, and ensuring alignment between technical delivery and business value realization.
Must have:
- 8+ years of experience in data engineering and ETL
- Hands-on expertise in Informatica (PowerCenter and IICS)
- Advanced SQL skills and experience with performance tuning
- Proven experience designing and optimizing solutions in Snowflake
- Strong foundation in data warehouse design (dimensional modeling)
- Exceptional communication and stakeholder engagement skills
- Demonstrated consultative mindset
- Experience writing business process and technical documentation
- Strong project management, organization, and team leadership skills
Good to have:
- Prior experience in pharma domain (IQVIA, Komodo, VEEVA datasets)
- SnowPro certification
4 skills required
Job Details
About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Senior Lead Data Engineer
Primary Skills
Job requirements
Lead the design, development, and optimization of ETL workflows using Informatica PowerCenter and IICS Architect high-performance, scalable solutions on Snowflake Data Warehouse Design robust data models with strong understanding of facts and dimensions Act as a strategic advisor to business stakeholders, using data to drive insights and business outcomes Partner with line-of-business leaders to identify and prioritize opportunities where data engineering can deliver measurable value Lead a team of data engineers through complex integration efforts with a problem-solving attitude Translate unstructured problems into structured, scalable data solutions Deliver high-quality business presentations and solution documentation tailored to technical and executive audiences Ensure alignment between technical delivery and business value realization Optimize performance through effective data modeling, partitioning, and indexing. Lead data migration and integration projects to move legacy data systems to Snowflake. Collaborate with business analysts, data engineers, and stakeholders to define requirements and deliver data solutions.
8+ years of experience in data engineering and ETL, with hands-on expertise in Informatica (PowerCenter and IICS) Advanced SQL skills and experience with performance tuning Proven experience designing and optimizing solutions in Snowflake Strong foundation in data warehouse design, with a focus on dimensional modeling Prior experience in pharma domain with exposure to IQVIA, Komodo, and VEEVA datasets – strongly preferred Exceptional communication and stakeholder engagement skills Demonstrated consultative mindset, capable of influencing and leading cross-functional discussions on data-driven value generation Experience writing business process and technical documentation Strong project management, organization, and team leadership skills Ability to work in fast-paced environments with ambiguity and shifting priorities
Very strong SQL and Informatica (PowerCenter & IICS) capabilities Deep understanding of Pharma datasets and commercial analytics Proven consultative approach with ability to drive thought leadership and business impact Excellent stakeholder management and presentation skills Onsite at Plainsboro, NJ – 3 days onsite/week
SnowPro certification is highly desirable.
- IICS, Alation, Data Modelling Fundamentals, Data Warehousing, ETL Fundamentals, Matillion, Modern Data Platform Fundamentals, PLSQL, T-SQL, Stored Procedures, Python, SQL, SQL (Basic + Advanced), Talend
Job requirements
Job Title: Lead Data Engineer– Pharma Data Engineering
Location: Plainsboro, NJ (Hybrid – 3 days onsite/week)
About the Role:
We are seeking a highly skilled and consultative Lead Data Engineer with deep experience in Data Warehousing and Informatica to lead data integration initiatives for a Life Science practice within Brillio. This role is ideal for someone who not only excels technically but thrives as a thought partner to business stakeholders, helping to uncover opportunities for value creation through data.
Key Responsibilities:
Required Skills & Qualifications:
Key Expectations:
Preferred Qualifications
Know more about:
Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/
Equal Employment Opportunity Declaration
Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.
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