Director, Engineering - Data & Insights
New
Based in United States, US Eastern TimeFull-TimeDirector
Salary$175,000 - $328,000 USD annually
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Job Details
- Languages
- English
- Experience
- 10+ years
- Required Skills
- AWSLeadershipSQLETLKafkaData engineeringAgile methodologiesSaaSDistributed Systems
Requirements
- 10+ years of experience in software development, preferably within SaaS or large-scale technology environments.
- Proven experience leading and scaling engineering teams, including hiring, mentoring, and developing engineering leaders.
- Strong expertise in data engineering, including data warehouse architecture, ETL/ELT pipelines, and data lake patterns.
- Experience with AWS data services and cloud-based architectures.
- Advanced SQL skills with analytical query engines such as Redshift, BigQuery, or similar technologies.
- Familiarity with streaming and near-real-time data processing technologies such as Kafka, Kinesis, or equivalent solutions.
- Demonstrated ownership of data quality, governance, schema management, and scalable data solutions.
- Experience managing the complete software development lifecycle for enterprise SaaS applications.
- Strong understanding of distributed systems, scalable architectures, and fault-tolerant software development.
- Ability to leverage AI tools such as ChatGPT, Copilot, or Claude to improve productivity, documentation, analysis, and engineering workflows.
- Excellent written and verbal communication skills in English.
- Ability to work core business hours aligned with the US Eastern Time zone.
Responsibilities
- Lead and manage multiple software engineering teams, ensuring alignment with organizational goals, delivery expectations, and technical priorities.
- Develop and mentor engineering managers and senior engineers, supporting leadership growth, career progression, and team performance.
- Build, recruit, and retain diverse, high-performing engineering teams capable of delivering impactful SaaS solutions.
- Define and communicate long-term technical strategies for data platforms, engineering architecture, and product scalability.
- Partner with executive leadership to translate business objectives into actionable engineering roadmaps and initiatives.
- Collaborate with product management teams to prioritize development efforts, allocate resources, and ensure successful delivery.
- Oversee the design and development of advanced data solutions, including scalable architectures, data pipelines, and analytics platforms.
- Drive improvements in engineering processes, including agile methodologies, continuous delivery, automation, and operational excellence.
- Manage engineering budgets and resources while balancing business needs, technical investments, and operational efficiency.
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