Data Architect
United States
Full Time
5 days ago
$250,000 - $300,000 USD
No H1B
Key skills
Amazon RedshiftAWSAzureCloudEC2ETLGoogle Cloud PlatformKafkaMicroservicesNoSQLTerraformAIMLData WarehousingAnalyticsSnowflakeRedshiftDatabricksGCPGoogle CloudEKSS3Leadership
About this role
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!