Lead Data Engineer / Lead Data Architect

Overview

Remote
Up to $120,000
Contract - W2
Contract - Independent
Contract - 6 Month(s)
Able to Provide Sponsorship

Skills

Databricks
Python
Azure
AWS
Cloud
GCP

Job Details

Job Title: Lead Data Engineer / Lead Data Architect
Location: Remote (Preference for US-based candidates)
Start Date: ASAP
Must have 12+ years of overall IT exp.

No OPT or CPT candidates
H1B Transfers are encouraged to apply
Must be authorized to work in the U.S. without sponsorship (unless H-1B transfer)

Job Summary:

We are seeking a highly skilled Lead Data Engineer / Lead Data Architect with strong experience in Python and Databricks, preferably with a background in pharmaceuticals or supply chain domains. The ideal candidate will possess architectural expertise, leadership capability, and a strategic mindset to drive data engineering solutions. The ability to engage with business stakeholders is essential.

Key Responsibilities:

  • Lead architecture design and development of scalable and efficient data pipelines using Databricks, Python, and cloud platforms (AWS, Azure, or Google Cloud Platform)

  • Define data strategies, standards, and best practices across various data domains

  • Act as a bridge between business and technical teams; engage with stakeholders to gather and translate business requirements into technical solutions

  • Guide the development of robust data models, ETL/ELT pipelines, and performance tuning

  • Ensure data quality, governance, and security compliance across solutions

  • Collaborate with cross-functional teams to enable data-driven decision-making

  • Evaluate and implement new data technologies/tools as needed for continuous improvement

  • Mentor and lead junior engineers and data team members

Required Skills & Experience:

  • 12+ years of experience in Data Engineering or architecture roles

  • Strong hands-on experience with Databricks and Python

  • Proven experience in cloud platforms AWS, Azure, or Google Cloud Platform (multi-cloud experience is a plus)

  • Experience designing large-scale data architecture for enterprise systems

  • Background in pharmaceutical or supply chain domains preferred

  • Excellent understanding of data lakehouse architecture, Delta Lake, and streaming data solutions

  • Ability to drive technical decisions and contribute to data strategy discussions

  • Exceptional communication and stakeholder management skills

Preferred Qualifications:

  • Experience with CI/CD pipelines, Terraform, and Infrastructure-as-Code (IaC)

  • Familiarity with data privacy and regulatory requirements (e.g., HIPAA, GxP, GDPR)

  • Certifications in Databricks, AWS, Azure, or Google Cloud Platform are a plus

  • Prior experience in leading distributed teams or offshore/onsite model

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