Note: The job is a remote job and is open to candidates in USA. Landmark Foundation Group is a leading platform in the foundation repair and waterproofing industry. They are seeking an experienced Lead Data Engineer to oversee the analytics and integration platforms, focusing on data architecture, engineering, and enterprise integration development.
Responsibilities
- Serve as the primary technical partner for business stakeholders across analytics and integration initiatives
- Gather requirements, prioritize work, and translate business needs into scalable technical solutions
- Drive the analytics roadmap and identify opportunities to improve reporting, automation, and operational efficiency
- Balance strategic platform improvements with day-to-day business support
- Design, build, and maintain scalable data pipelines and cloud-native data solutions
- Develop Python-based integrations and API services using AWS Lambda
- Build and optimize ELT pipelines using Fivetran, Snowflake, and dbt
- Develop semantic models, dashboards, and reporting solutions in Power BI, Streamlit, and dbt
- Improve data quality, observability, performance, and governance across the analytics platform
- Enable AI-driven self-service analytics through Snowflake Cortex AI, accelerating business users' ability to get insights from the data warehouse
- Design, build, and support enterprise integrations using Workato
- Develop custom connectors using the Workato Connector SDK
- Build, deploy, monitor, and maintain integration recipes and workflows
- Establish scalable integration patterns, standards, and deployment practices
- Support integration of newly acquired businesses and applications into the enterprise technology landscape
Skills
- 6–8+ years of experience in data engineering, analytics engineering, integration engineering, or related disciplines
- Expert-level SQL skills
- Strong Python development experience, including API development and automation
- Experience with modern cloud data platforms, including: Snowflake, dbt, Fivetran, AWS (particularly Lambda), Power BI
- Experience designing and consuming REST APIs
- Demonstrated ability to work directly with business stakeholders and independently lead technical initiatives from concept through production
- Strong communication and problem-solving skills
- Authorization to work in the United States without current or future employer sponsorship is required
- Hands-on Workato experience, including recipe development, deployment, administration, and the Workato Connector SDK
- Experience with another enterprise iPaaS platform (Boomi, MuleSoft, Celigo, Tray.io, Informatica, or similar). Comparable iPaaS experience is valued, though Workato experience is strongly preferred
- Experience using AI-assisted development tools to improve engineering productivity and code quality (e.g., GitHub Copilot, Codex, Cursor, Claude Code, or similar)
- Experience with modern software development practices, including Git, CI/CD, and Visual Studio Code
- Experience supporting high-growth, acquisition-driven, or private equity-backed organizations
Company Overview