Director of Data Engineering
Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year.
Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA.
We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies.
We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us!
This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events.
About Ironclad IT
Our IT team plays a pivotal role in creating platforms for success so our Ironclad team can execute on our vision. As an IT teammate, you’ll partner with our Operations team on growth strategies and execute on technology needs as we grow. You also bring empathy to understand employee technology needs. You’ll enable the team, build out new offices, and design IT strategy for a fast-paced, fast-growing technology company.
Roles & Responsibilities:
Lead, mentor, and manage a team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement.
Collaborate with other technical and non-technical teams to understand business requirements and translate them into efficient data engineering solutions.
Design, implement, and maintain data pipelines and ETL processes that support data integration, transformation, and loading into the data warehouse.
Ensure data quality, reliability, and consistency by implementing robust testing, monitoring, and validation processes.
Stay current with industry trends and best practices in data engineering, cloud technologies, and data architecture.
Drive the adoption of best practices for data governance, data security, and compliance within the data engineering team.
Manage project timelines, resource allocation, and priorities to ensure timely delivery of data engineering projects.
Collaborate with other directors and leaders to align data engineering initiatives with broader business objectives.
Work closely with the IT & Security DS and other cross-functional DS teams on design, reference architecture, and Data Strategy.
Experience setting journey driven by enterprise business outcomes, modernization, and stakeholder alignment.
Excellent communication skills with technical and non‑technical audiences.
Aptitude for budgeting, vendor negotiation, and operational efficiency.
Qualifications:
Strong data infrastructure and data architecture skills.
A proven track record of leading and scaling large data teams.
Strong operational skills to drive efficiency and speed.
Strong project management leadership.
Strong vision for how Data Engineering can proactively improve companies.
12+ years of experience in Analytics, BI, and Data Warehousing.
Experience scaling and managing 20+ person teams and in managing managers.
Experience leading in a highly cross-functional environment, likely collaborating closely with Engineering, Product Management, and/or Data Science.
Communication and leadership experience, with experience initiating and driving large-scale strategic initiatives.
Data architecture experience.
Experience in SQL or similar languages.
Development experience in at least one object-oriented language (Python, Java, etc.).
Solid understanding of how experimentation (A/B testing) works.
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proven experience (8+ years) in data engineering, with at least 5 years in a senior leadership role.
Strong hands-on experience with cloud-based data engineering platforms preferred (e.g. GCP, Google Big Query, Looker, Databricks, Snowflake, dbt Labs, Airflow, Fivetran).
Proficiency in SQL, Python, and other relevant programming languages.
Experience with data modeling, ETL processes, and data integration patterns.
Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
Strong leadership and team management skills, with the ability to inspire and develop a high-performing team.
Familiarity with agile development methodologies and project management practices.
Adept at problem-solving, critical thinking, and decision-making in a fast-paced environment.
Practical experience with data governance and compliance frameworks.
Hands-on proficiency with data streaming and real-time data processing technologies.
Benefits:
Health, dental, and vision insurance
401k
Wellness reimbursement
Take what you need vacation policy
Generous parental leave for both primary and secondary caregivers
Base Salary Range: $265,000 - $294,000
The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Originally posted on Himalayas
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