Director, Engineering (Data & Insights)
United StatesFull-TimeDirector
Salary175,000 - 328,000 USD per year
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Job Details
- Experience
- 10+ years
- Required Skills
- AWSSQLAgileKafkaCI/CDDevOpsDistributed Systems
Requirements
- 10+ years of software development experience within SaaS environments, including leadership of multiple engineering teams and large-scale technical initiatives.
- Strong expertise in AWS data services, SQL at scale, data warehouse design, ETL/ELT pipelines, and modern data lake architectures.
- Experience working with streaming or near-real-time data technologies such as Kafka, Kinesis, or similar platforms.
- Proven ability to lead engineering organizations in fast-paced, high-growth industries while delivering scalable, fault-tolerant applications.
- Strong understanding of agile development methodologies such as Scrum and Kanban, along with CI/CD and DevOps best practices.
- Experience leveraging AI tools and technologies to improve productivity, communication, analysis, and engineering workflows.
- Excellent leadership, communication, and stakeholder management skills, with the ability to align technical initiatives to business outcomes.
- Familiarity with distributed systems, analytics platforms, BI tools, and cloud-native infrastructure.
- Preferred experience with Databricks, SQL Server, self-service analytics platforms, e-commerce technologies, and AI/LLM-powered data solutions.
- Bachelor’s degree in Computer Science or a related field preferred.
Responsibilities
- Lead and oversee multiple engineering teams responsible for data platforms, analytics systems, and scalable SaaS solutions, ensuring alignment with business goals and technical strategy.
- Build, mentor, and retain high-performing engineering managers and senior technical talent while fostering an inclusive and collaborative engineering culture.
- Define and communicate long-term architectural and platform strategies, partnering with executive leadership to translate business priorities into actionable engineering roadmaps.
- Drive operational excellence through continuous improvement of development processes, agile methodologies, CI/CD practices, automated testing, and DevOps principles.
- Collaborate closely with product, operations, and cross-functional stakeholders to prioritize initiatives, allocate resources effectively, and ensure successful delivery of projects.
- Oversee large-scale distributed systems, data warehouse architectures, ETL/ELT pipelines, and real-time data processing solutions across cloud environments.
- Promote strong ownership of data quality, governance, scalability, and fault tolerance while ensuring engineering teams proactively solve production challenges.
- Manage engineering budgets, technical planning, and stakeholder communication while providing visibility into progress, risks, and outcomes.
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