Lead Data Engineer & Architect

Lead Data Engineer & Architect

meQuilibrium impacts the potential and performance of employees through the power of resilience. Our company culture offers a positive, team-based, fast-paced environment that's grounded in the very values it teaches. We believe in supporting creative, entrepreneurial spirits - and we're looking for people like you.

At meQuilibrium, we are transforming the way we interact with data to drive better decisions and outcomes. Our Data Engineering team is at the forefront of building scalable, high-performance data infrastructure that powers our products and insights. We are looking for a Lead Data Engineer & Architect who is both a hands-on expert and a strategic thinker-someone who can design, build, and lead while fostering a culture of collaboration and knowledge-sharing.

What You'll Do

• Architect, build, and optimize our next-generation data platform to support advanced analytics, machine learning, and AI-driven initiatives.
• Lead and mentor a team of data engineers, promoting best practices in coding, design patterns, and data architecture.
• Design and develop scalable data pipelines using modern data processing frameworks and orchestration tools.
• Own the end-to-end data infrastructure, including data ingestion, transformation, storage, and governance.
• Champion DevOps and Infrastructure-as-Code (IaC) practices for data engineering solutions.
• Drive innovation by exploring new technologies, especially in Generative AI and its applications in mental health (a plus).
• Work cross-functionally with product, analytics, and engineering teams to ensure data accessibility and reliability.

What You Bring

• 3+ years of experience leading data engineering projects, including architectural decision-making and team leadership.
• Strong hands-on experience with cloud-based data solutions (AWS, GCP, or Azure).
• Expertise in Python, SQL, and Git for data processing and software development.
• Deep understanding of data structures, design patterns, and scalable data architectures.
• Experience with containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform, CloudFormation, or similar).
• Proficiency in pipeline orchestration tools (Airflow, Prefect, Dagster) and data integration frameworks (Airbyte, dbt).
• Strong knowledge of data warehousing (Snowflake, BigQuery, Redshift) and real-time data streaming.
• A coaching mindset with a passion for sharing knowledge and upskilling the team.

Tech Stack You'll Work With

• Orchestration & ETL: Airflow, Airbyte, dbt
• Cloud & Infrastructure: AWS, Kubernetes, AWS Bedrock
• Data Storage & Processing: Snowflake
• Data Dashboarding & Report: Streamlit, Grafana
• Programming & DevOps: Python, SQL, Git, Terraform

Bonus Points For

• Experience in Generative AI applications or mental health tech.
• Familiarity with AI/ML engineering workflows and data science collaboration.
• Experience with Django Admin

Why Join Us?

• Be part of a mission-driven company shaping the future of data-driven insights.
• Work with cutting-edge technologies and influence our data strategy.
• Collaborate with a passionate, supportive, and forward-thinking team.
• Opportunities for professional growth and mentorship.

If you're a hands-on leader excited to design scalable data solutions while mentoring a growing team, we'd love to hear from you!

Our headquarters are based in Boston. There will be times when travel to the Boston office is necessary for team meetings or training. Must be able to work east coast hours.

meQuilibrium is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, backgrounds, perspectives, skills and experiences within our workforce. We encourage all to apply.