Lead Data Engineer - 4 hours overlap with EST

Position overview

DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value.We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally. We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and Development centers, R&D labs, and mentorship programs encourage professional growth.Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career.We are looking for a Lead Data Engineer to spearhead our growing DE team and lead the build-out of our new ELT architecture from the ground up.You will oversee the work with dbt, Fivetran, Snowflake, Airflow, GitHub, and modern CI/CD & IAC tools to design, develop, test, deploy, and support data pipelines and models. You will drive collaboration with data analysts, data scientists, business stakeholders, and software vendors to ensure data quality, reliability, and accessibility.This leadership position requires at least 4 hours overlap with the EST timezone for effective collaboration.

Responsibilities

• Lead the design, development, testing, deployment, and support of data pipelines and models using dbt, Snowflake, Airflow, Fivetran, and SNP Glue.

• Oversee and mentor team members to ensure project milestones and quality standards are achieved.

• Monitor and troubleshoot performance and issues of data pipelines; implement proactive improvements.

• Define and enforce data quality checks and tests using dbt and GitHub.

• Document and present pipeline and model logic, assumptions, and dependencies to both technical teams and stakeholders.

• Establish and promote data engineering best practices, standards, and frameworks within the team and organization.

• Collaborate cross-functionally to align data strategy with business objectives.

Requirements

• 7+ years of experience in data engineering, with proven leadership or team lead experience.

• Strong self-starter and problem solver capable of architecting complex production-ready solutions with minimal direction.

• Advanced expertise with SQL, dbt Cloud, GitHub, Airflow, and Snowflake.

• Proficient with Fivetran and modern CI/CD & IAC tooling.

• Proficient in Python or similar programming languages (Java, Scala, Javascript, C++).

• Experience with Unix command line and BASH scripting.

• Demonstrated ability to lead, mentor, and grow a data engineering team.

Nice to have

• Experience with Census reverse ETL tool, retail financial data, SNP Glue, and SAP Business Warehouse (BW).

• Strong communication, leadership, and collaboration skills.

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent work experience.