Design and maintain end-to-end data architectures for analytics, reporting, and advanced data use cases across Snowflake, AWS, Databricks, and Tableau.
Define architectural standards and reference patterns that optimize performance, scale, and total cost of ownership.
Lead architectural decisions for Snowflake, Databricks, and AWS, including storage, compute separation, and workload isolation strategies.
Continuously evaluate and refine architectures to prevent overprovisioning and uncontrolled cloud spend.
Create and maintain architecture design documentation.
Design Snowflake architectures that optimize warehouse sizing, concurrency, auto‑suspend/resume, clustering, and data retention.
Implement Databricks cost controls including cluster policies, job optimization, workload separation, and efficient Spark configurations.
Architect AWS solutions with careful consideration of storage tiers, lifecycle policies, and usage‑based services.
Manage data storage and backup and recovery operations.
Manage individual product updates, cybersecurity and IT policies, and management and control of data throughout the enterprise.
Source project staff and consultants and oversee performance evaluation.
Monitor performance of cloud systems to determine cost and productivity levels and to make recommendations for improving the IT infrastructure.
Administer cloud-based infrastructure including identity and access management, user permissions, and billing optimization.
Manage data storage and access needs, create and maintain databases, and upgrade database systems and software.
Create, enhance, document, and manage continuous improvement initiatives across data architectures.
Responsible for identifying inefficiencies, proposing solutions to senior leadership, and leading the implementation of new tools, automation, and reporting frameworks that enable the team to scale and improve various systems.
Perform other duties as assigned.

Requirements

Strong hands‑on experience with Snowflake, including performance tuning and cost optimization.
Mastery of Python.
Deep understanding of AWS pricing models and architectural tradeoffs.
Proven experience designing and operating Databricks workloads cost‑effectively.
Advanced SQL and strong data modeling expertise.
Experience enabling BI platforms with Tableau preferred.
Proficient with Microsoft Office Suite.
Ability to act with integrity, professionalism, and confidentiality.
Ability to fully own tasks and processes with minimal oversight.
Ability to handle multiple priorities to meet deadlines and escalate key issues.
Proficient with data visualization tools and software (i.e., Tableau, Power BI).
Well-versed in cloud environments, data engineering, systems engineering and operations, best-practice data governance and security, data privacy regulations, and interface strategies.
Deep understanding of the interactions between systems and how business processes are enabled and impacted by those systems.
Experience or course work with Cloud platform data services including Amazon Web Services, Google Cloud, or Microsoft Azure; cloud platform data storage and management tools; Linux configuration; SQL databases.

Benefits

health care
a 401(k)-like match program
paid vacation
sick leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SnowflakeAWSDatabricksPythonSQLdata modelingdata visualizationTableauSparkcloud architecture

Soft Skills

integrityprofessionalismconfidentialitytask ownershipprioritizationdeadline managementproblem-solvingcommunicationleadershipcollaboration