Lead Data Engineer – Advanced Analytics (Remote)

Job Title

• Lead Data Engineer - Advanced Analytics

Job Type

Experience

Job Description - We are seeking a seasoned

Lead Data Engineer

with over 10 years of experience to lead and drive strategic data initiatives within the

Advanced Analytics

domain. This role acts as the primary liaison between

Lines of Business (LoB)

and IT support teams (Snowflake, Databricks, Microsoft platforms), ensuring alignment between technical capabilities and business priorities. The ideal candidate will have strong technical expertise, architecture leadership, and stakeholder management skills—particularly within the

pharmaceutical industry . Key Responsibilities : Strategic Leadership & Collaboration : Act as the primary contact for

in support of

Advanced Analytics

initiatives. Bridge communication between

LoB stakeholders

and technical teams (AI / ML platforms, IT partners). Lead

strategic business projects

that showcase the impact of

Data Engineering

Data Science . Engage in

senior leadership meetings

to champion

Data Stewardship ,

Data Ownership , and

Data Engineering

adoption. Technical Architecture & Execution : Serve as the

Technical Architect

for Data Analytics / Data Science projects. Lead and supervise implementation of

data engineering best practices , including code optimization, CI / CD, and scalable data pipelines. Conduct

Proof-of-Concepts (POCs)

for emerging technologies and guide analytics teams based on findings. Advise business and technical teams on

modern data architecture , including Snowflake, Azure, Databricks, and other cloud-native platforms. Team & Functional Leadership : Mentor and guide junior and mid-level data engineers. Act as a

functional lead

in cross-functional business and technical engagements. Collaborate with global and regional data teams across to ensure consistency and alignment. Data Evangelism & Governance : Advocate for enterprise-wide use of Data Engineering, Data Stewardship, and Data Quality practices. Promote the value of analytics and data science to business teams and leadership. Ensure data governance, compliance, and security best practices in collaboration with internal partners. Required Skills & Qualifications : Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field. 10+ years of hands-on experience in

Data Engineering , including architecture design and implementation. Deep expertise with

cloud-based platforms

such as

Snowflake ,

Databricks ,

Azure Data Services , and

Microsoft Stack . Strong experience with data pipeline development, ETL / ELT workflows, and orchestration tools. Understanding of

machine learning workflows , including integration with AI / ML platforms. Experience working with

pharma datasets

and familiarity with compliance / regulatory environments in the pharmaceutical industry. Proven experience in

stakeholder management , especially in global matrixed environments. Excellent communication, leadership, and cross-functional collaboration skills. Preferred Qualifications : Experience in a global pharma / healthcare setting, especially working across GBS or corporate headquarters. Industry recognition or conference participation in data engineering or pharma analytics. Certification in Snowflake, Azure, or Databricks is a plus. Familiarity with data cataloging, metadata management, and MDM practices.