Role Overview

Provide architectural leadership for data solutions, data architectures, data warehousing, strategic data design, and infrastructure initiatives.
Design and develop high volume data ingestion components and ETL solutions to collect data from various internal and external sources.
Define a robust and extensible data architecture and plan for iterative implementation.
Architect and guide the development of Proof-of-Concept projects to validate data designs and solutions.
Architect for performant, durable, and scalable cloud-centric data models and validation supporting ever-evolving data versions and layouts.
Design and enhance our cloud-based data analytics solutions to address AI/ML, data insights, security, privacy, and reliability concerns.
Architect for agentic coordination and data discovery
Design systems that enable AI governance, security and auditability
Architect the overall data strategy including security, data models, data infrastructure, software selection, and performance.
Understand existing databases, warehouses, and lake structures to drive the evolution of our current practices.
Create technical design documentation which includes current and future functionality, database/data storage, specifications, flow, and diagrams.
Help determine data storage based on the use case (relational, document, NoSQL, vector, graph, etc.)
Collaborate and work with Cloud/Security architects and subject matter experts (SMEs).
Ensure data quality and controls are in place to support various data ingestion inflows and outflows processes.
Mentor Data Platform team members.

Requirements

BS/BA in Computer Science, Master's degree in Computer Science preferred.
At least 10 years of experience as an architect for data and analytics solutions.
Experience with relevant architecture standards, processes, and methodologies.
Experience with cloud data platforms (e.g. Snowflake, Databricks, Flink, Kafka, Managed data services, etc.)
Public cloud providers and relevant data services (AWS, Google, and/or Azure).
Experienced with operationalizing event data from microservice architectures.
Experience utilizing data architecture for AI/ML processing.
Working knowledge of IAC and AWS or GCP fundamentals (Dynamo, Redshift, EC2, Terraform, EKS, S3, Containers, Microservices, etc.)
Experience supporting mission critical production environments.
Experience handling sensitive customer data to maintain compliance with data protection standards such as HIPAA, GDPR, and CCPA.

Tech Stack

Amazon Redshift
AWS
Azure
Cloud
EC2
ETL
Google Cloud Platform
Kafka
Microservices
NoSQL
Terraform

Benefits

Competitive compensation
100% medical premium coverage (yes, you read that right!)
401(k) plan with company match
Generous PTO packages that increase with tenure
Schedule flexibility
Fitness clubs (you get paid to have fun and be active!)
Company parties and employee recognition programs
Wellness programs (free Fitbit, gym membership and athletic shoe reimbursements, etc.)
Onsite physician and massage therapist
Innovation center and gaming rooms at the office
Dental/vision plans
Employer paid life insurance policy
Much, much more!

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Data Architect