Lead, build, and mentor high-performing teams in data engineering and database reliability, fostering ownership, innovation, and engineering excellence.
Define and communicate a clear vision and roadmap for data platforms aligned to business and technology strategy.
Architect and oversee data pipelines, ingestion frameworks, and integration solutions to manage structured and unstructured data from multiple sources.
Drive adoption of modern data engineering practices including ETL/ELT, stream processing, and automation frameworks.
Ensure data quality, integrity, governance, and observability across cloud (Snowflake, AWS, Azure), hybrid, and on-premises environments.
Provide leadership for PostgreSQL and MySQL operations, including high availability, disaster recovery, backup, and performance optimization.
Partner with application engineering, analytics, DevOps, and security teams to deliver robust and compliant data platforms.
Evaluate and recommend new technologies, tools, and architectures for data management and platform scalability.
Manage project schedules, resources, and delivery milestones for both data engineering initiatives and database reliability efforts.
Present strategies, progress, and recommendations in senior technical and executive forums.
Develop and manage budgets, optimizing spend on cloud services, licensing, and infrastructure.
Promote a culture of continuous improvement, customer focus, and technical excellence.
Requirements
8+ years of hands-on experience in data engineering and database management, with proven leadership in managing technical teams.
Strong expertise in modern data platforms: Snowflake, Spark, Kafka, Airflow, or similar orchestration tools.
Deep knowledge of NoSQL (MongoDB, Cassandra, NeptuneDB) and relational DBMS (PostgreSQL, MySQL, Oracle).
Proven success designing and managing ETL/ELT pipelines, streaming solutions, and large-scale data integrations.
Proficiency in programming/scripting (Python, Scala, Java, SQL).
Familiarity with infrastructure-as-code and automation tools (Terraform, Ansible, CloudFormation).
Experience managing production database environments on-prem and in the cloud (AWS RDS, Azure Managed DBs).
Strong communication and executive presentation skills.
Demonstrated ability to manage budgets and optimize cloud/data infrastructure costs.
Benefits
A bonus and/or long-term incentive units may be provided as part of the compensation package
full range of medical, financial, and/or other benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdatabase managementETLELTstream processingdata pipelinesdata integrationprogrammingscriptingdata quality