Undisclosed · 12 hours ago
Data Architect
United States
Full-time
Remote
Senior Level
$160K/yr - $320K/yr
6+ years expThe client is seeking a Data Architect to design, build, and govern scalable data architectures that enable reliable analytics and data-driven decision-making. This role involves defining data strategy and architecture standards while collaborating with various teams to ensure data systems align with organizational goals.
Financial Services
Responsibilities
Design and maintain enterprise-level data architectures, including data warehouses, data lakes, and data pipelines
Define data modeling standards, schemas, and best practices to support analytics, reporting, and operational use cases
Partner with Data Engineers and Software Engineers to ensure scalable, reliable, and performant data pipelines
Collaborate with Analytics, Product, and Business stakeholders to translate data requirements into technical solutions
Establish data governance, quality, security, and compliance frameworks across systems and teams
Evaluate, select, and optimize data technologies, tools, and platforms
Ensure data architectures support scalability, availability, and cost efficiency
Lead architectural reviews and provide guidance on data-related design decisions
Document data architectures, flows, and standards to promote consistency and knowledge sharing
Advocate for data best practices and continuous improvement across the organization
Qualification
Required
Strong experience in data architecture and data platform design
Expertise in data modeling concepts (dimensional, relational, and analytical models)
Hands-on experience with modern data warehouses and data lakes (e.g., Snowflake, BigQuery, Redshift, Databricks)
Proficiency with SQL and strong understanding of ETL/ELT patterns and data pipelines
Experience with cloud platforms (AWS, Azure, or GCP)
Knowledge of data governance, data quality, security, and privacy best practices
Strong analytical and problem-solving skills with attention to detail
Excellent communication skills, able to collaborate with both technical and non-technical stakeholders
Preferred
6–10 years of experience in Data Architecture, Data Engineering, or related roles
Experience in SaaS, cloud-native, or data-intensive organizations
Familiarity with big data technologies and streaming platforms (e.g., Spark, Kafka)
Experience supporting BI, analytics, and machine learning use cases
Exposure to metadata management, data catalogs, and lineage tools
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
Company
Undisclosed
Financial Services
Founded in 2016US
10001+ employeesFunding
Current Stage
Late StageLeadership Team
Sean Blanton, Ph.D.
Co-Founder and Member of the Management Board
Jeff Saginor
Chief Technology Officer
Company data provided by crunchbase