Develop and execute a comprehensive Data strategy aligned with the organization's overall business objectives, identifying emerging technologies to drive innovation while minimizing cost
Hire, manage and mentor managers, assigning responsibilities, evaluating performance, ensuring accountability and fostering collaboration
Oversee the planning, implementation, and maintenance of Data infrastructure including data warehouse platform(s), data lake(s), transactional databases, pipelines, ETL, API, insights, ML and AI implementations
Lead the execution of Data projects and initiatives, ensuring timely delivery within budget and scope
Communicate complex technical concepts clearly to non-technical stakeholders and senior management proactively
Analyze Data operations to identify areas for improvement, track key performance indicators (KPIs)
Build and maintain relationships with leaders across the organization to facilitate the highest level of performance and delivery
Requirements
Minimum 10 years hands-on experience in data engineering with a minimum of 6 years in a role with direct reports
Experience creating and managing budgets of ~$4M
Unimpeachable technical knowledge in Data Engineering and Data Architecture
Demonstrable experience in AI using multiple LLMs
Strong hands-on experience with data infrastructure technologies such as Airflow, Fivetran, Kafka, dbt, and modern data warehouses (e.g., Snowflake, Databricks, and Redshift)
Proficiency in Python, SQL, and data modeling techniques
Deep understanding of data architecture, pipelines, warehousing, and real-time data streaming
Bachelor Degree or equivalent experience in Data Engineering or Computer Science
Proven leadership and team management abilities
Strategic thinking and ability to align Data with business goals
Project management skills
Understanding of industry regulations and compliance requirements
Benefits
Excellent benefits including health, dental, and vision insurance
Stock options
Work from home and flexible scheduling depending on job requirements
Professional development opportunities
11 paid holidays
Home office setup support for remote employees
A welcome “swag bag” with branded clothing as an official welcome to the team
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata architectureAILLMsPythonSQLdata modelingdata pipelinesdata warehousingreal-time data streaming