Syneos Health
Life Sciences
PrincipalDataEngineer
“Principal Data Engineer at Syneos Health. Skills: Azure Databricks, Apache Spark, Azure Data Factory, Data platform architecture. Set strategic direction. Oversee data platform design”
What You'll Achieve.
Accelerate customer success; Navigate complexity; Anticipate change; Accelerate progress; Deliver impactful results for the business; Improve operational efficiency; Strengthen data-driven decision-making
Industry & Context.
Analytical skills; Problem-solving skills; Data processing skills; Architect resilient data solutions; Architect efficient data solutions; Architect secure data solutions
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Engineering, Mathematics, or a closely related field, Minimum of ten (10) years of progressive experience in data engineering, Demonstrated expertise in designing, building, and optimizing ETL/ELT pipelines using ADF, Databricks, and modern cloud-native architectures, Mastery of data modeling, relational database systems, and architecting APIs for data access and integration at scale, Advanced proficiency in Python, SQL, Deep experience with distributed version control systems (e.g., Git), analytical, problem-solving, and data processing skills, Proven leadership ability to drive complex projects from conception to delivery, Exceptional communication skills
Nice to Have
Master's degree in Computer Science, Engineering, Mathematics, or a closely related field, Advanced expertise in CI/CD automation, DevOps practices, and infrastructure-as-code for data engineering solutions, Proficiency in Spark, Databricks, ADF and advanced distributed data processing frameworks, In-depth knowledge of data masking, data governance, and security best practices, Hands-on experience with AI/ML integration, advanced analytics, Familiarity with industry-specific data standards, Recognized advanced certifications in cloud data engineering
What You'll Do.
Set strategic direction
Oversee data platform design
Guide adoption of data technologies
Integrate structured and unstructured data
Provide thought leadership
Mentor engineering teams
Collaborate with stakeholders
Lead research and innovation
How You'll Work.
Team & Collaboration
Collaborate with executive leadership; Collaborate with product managers; Collaborate with cross-functional teams; Collaborate with engineering teams
Communication Scope
Articulate complex technical concepts; Communicate strategies to technical audiences; Communicate strategies to non-technical audiences; Communicate to executive stakeholders
Process & Methodology
Drive complex projects, Manage priorities
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