Associate Director, Data Engineering

About the role

.Monks is a digital-first marketing and advertising services company. We are currently seeking a forward-deployed data engineer to join our team.

Responsibilities

• Design, build, and maintain scalable, reliable, and automated data pipelines using SQL, Python, and Databricks to support enterprise analytics.
• Architect and optimize robust data models and infrastructure to ensure high data quality, integrity, and accessibility across the client's ecosystem.
• Partner closely with the Data Science team to operationalize their work, deploying statistical and machine learning models into production environments using DataOps best practices.
• Identify, design, and implement internal process improvements, including automating manual data processes and optimizing data delivery for scalability.
• Collaborate with cross-functional teams to identify business problems, gather requirements, identify data sources, and provide data-driven solutions.

Requirements

• Strong experience designing and building scalable data pipelines using modern cloud data platforms.
• Solid understanding of modern data architecture, including ELT, data lakes/lakehouses, data warehouses, and metadata-driven frameworks.
• Experience applying software engineering best practices to data development, including version control (Git), code reviews and pull request workflows, modular, reusable, and testable code, CI/CD pipelines, and automated testing (unit, integration, and data quality tests).
• Proficiency in Python and SQL, with a focus on clean, maintainable, and well-tested code.
• Experience with orchestration frameworks and workflow automation.
• Familiarity with data modeling, data governance, lineage, observability, and monitoring.
• Experience working in Agile teams and collaborating across engineering, analytics, and business stakeholders.
• Adept to agile methodologies and well-versed in applying DataOps methods to the construction of pipelines and delivery.
• Demonstrated ability to effectively operate both independently and in a team environment.
• Experience in the client/consulting workplace and capable of reprioritization based on evolving client needs.

Essentials

• A Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field (or equivalent practical experience).
• 5+ years of experience in data engineering, data warehousing, or building data infrastructure for marketing and business applications.
• Hands-on experience working with common ETL tools.
• Expertise across programmatic display, video, native, and ad serving technology, as well as digital advertising reporting, measurement, and attribution tools.
• Experience in designing and deploying AI workflows directly into a client’s business environment.

Benefits

• Excellent, full coverage medical, dental, and vision insurance.
• Generous PTO and 15 company-wide holidays.
• 401k with company contribution.
• Paid parental leave.
• Work-life balance with an emphasis on personal well-being.
• Career growth in a disruptor space & entrepreneurial opportunities within the Monks network.
• A globally diverse & inclusive culture with employee resource groups such as S4 Melanin, Pride.Monks, and more!
• Authentic commitment to DEI efforts and sustainable growth.

Pay

$130,000—$160,000 USD

Schedule

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.