The Role:
We are looking for a Lead Data Engineer to spearhead the design, development, and optimization of scalable data pipelines and enterprise data solutions. This hands-on leadership role will focus on building modern cloud-based data infrastructure and driving best practices in data integration, transformation, and performance across the organization.
Key Responsibilities:
- Design, build, and optimize scalable ETL/ELT pipelines using modern data engineering tools and frameworks (full/incremental and CDC).
- Develop and maintain robust enterprise data models by integrating data from internal and third-party sources.
- Collaborate with architects, analysts, and business stakeholders to translate requirements into technical solutions.
- Ensure the performance, scalability, and reliability of data platforms and systems.
- Implement and enforce data governance, quality, and security standards.
- Drive automation and operational efficiency across data workflows and platforms.
- Participate in code reviews, document solutions, and contribute to continuous integration and deployment (CI/CD) practices.
- Mentor junior engineers and contribute to a high-performing data engineering culture.
Essential Knowledge, Skills, and Abilities:
- 10+ years of experience in data engineering and integration.
- 5+ years in data warehousing (Kimball methodology preferred).
- Expertise in Snowflake, SQL, and Informatica (required).
- Strong programming skills in Python and familiarity with REST/SOAP APIs.
- Solid understanding of ETL/ELT patterns and data pipeline orchestration.
- Experience working with enterprise platforms such as Salesforce, SAP Commerce Cloud, or NetSuite.
- Hands-on experience with GitHub, JIRA, and Agile methodologies.
- Cloud experience with AWS and/or Azure ecosystems.
- Exposure to Master Data Management (MDM) implementations.
- Strong problem-solving skills and attention to detail.
Nice to Have Skills:
- Experience with infrastructure as code (Terraform), containerization, or DevOps practices.
- Snowflake SnowPro Core and/or SnowPro Data Engineer certifications.
- Experience with data cataloging, data lineage, and metadata management tools.
What We Offer:
- Remote Work Opportunities
- Flexible Work Hours
- Professional Development Opportunities
Expected Compensation:
- $90-125 per hour
*Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time
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