United States onlyAbout True
As one of the fastest-growing organizations in the talent advisory space, True is a global platform of companies that optimizes value creation by placing executive talent, developing business leaders, creating diverse and inclusive networks, and using innovative technology to advance executive talent priorities. Our clients include innovative growth brands backed by leading Venture Capital and Private Equity firms as well as established public organizations. With offices in North America, EMEA, & APAC, our team of industry and functional experts leverage their deep networks to connect companies with leading talent to transform businesses and industries. True was founded on the belief that doing good is the pathway to doing well. Our growth and success are a by-product of our values treating people right, listening to new ideas and keeping culture at the heart of our business.
Overview
We are seeking an experienced Senior Data Architect to design and build the next-generation data architecture for our multi-tenant SaaS platform. This role will be responsible for architecting a comprehensive data warehouse, analytics framework, and integration platform that enables full data interoperability across our ecosystem. The ideal candidate will have deep expertise in modern data architectures, ETL/ELT pipelines, and building scalable data platforms that support both operational and analytical workloads.
Location
This is a remote position, but preference will be given to applicants in the Eastern time zone, especially in traveling distance to the company headquarters in Philadelphia, PA
Key Responsibilities
Data Warehouse Architecture
- Design and implement a next-generation data warehouse solution leveraging modern cloud data platforms (Snowflake, Redshift, or similar)
- Architect dimensional models, data marts, and fact tables optimized for analytics and reporting
- Establish data governance frameworks, data quality standards, and lineage tracking
- Design multi-tenant data isolation strategies while enabling cross-tenant analytics where appropriate
Integration Framework
- Design a unified integration framework for connecting with external systems (APIs, webhooks, file-based imports)
- Build event-driven integration patterns leveraging Kafka/MSK for real-time data synchronization
- Create standardized data exchange formats and schemas for interoperability
- Design integration monitoring, error handling, and retry mechanisms
- Establish patterns for bi-directional data synchronization
Analytics Framework
- Architect a comprehensive analytics framework that enables self-service analytics and reporting
- Design data models that support both real-time and batch analytical workloads
- Build frameworks for metric definitions, KPI tracking, and business intelligence
- Integrate with existing BI tools (Sisense) and enable new analytical capabilities
- Design data access patterns that balance performance, cost, and security
Core Competencies
- Data Architecture: 7+ years designing and implementing large-scale data architectures for SaaS platforms
- Data Warehousing: Deep expertise with modern cloud data warehouses (Snowflake, Redshift, BigQuery) including schema design, optimization, and cost management
- ETL/ELT Pipelines: Extensive experience building scalable data pipelines using tools like Airflow, dbt, Estuary, Fivetran, or custom solutions
- Multi-Tenant Systems: Proven experience designing data architectures for multi-tenant SaaS applications
- Data Modeling: Strong background in dimensional modeling, star/snowflake schemas, and data normalization/denormalization strategies
- Integration Architecture: Experience designing integration frameworks, API-based data exchange, and event-driven architectures
Technical Stack Knowledge
- Cloud Platforms: AWS (required), with experience in RDS, MSK, S3, Lambda, and data services
- Databases: PostgreSQL (operational), Snowflake or similar (analytical), with expertise in query optimization and indexing strategies
- Streaming: Kafka/MSK for event streaming and real-time data pipelines
- Data Tools: Experience with dbt, Airflow, Estuary, or similar data orchestration tools
- Programming: Strong Python and SQL skills; Ruby experience a plus
- Infrastructure as Code: Terraform, CloudFormation, or similar for data infrastructure provisioning
Additional Qualifications
- Experience with data migration projects, especially customer data migrations in SaaS contexts
- Knowledge of data governance, compliance (GDPR, CCPA), and security best practices
- Experience with observability and monitoring tools for data pipelines (DataDog, CloudWatch, etc.)
- Strong communication skills for collaborating with engineering, product, and business stakeholders
- Ability to balance technical excellence with business requirements and timelines
Benefits & Perks
- Time Off: Unlimited PTO because we trust you to manage your time and recharge when you need it. We encourage our team to truly disconnect and come back refreshed.
- Comprehensive Benefits: Our generous benefits package includes medical and dental coverage, competitive 401(k) matching to help you plan for the future, plus gym subsidies to support your health and wellness goals.
- Balanced Growth: We offer intellectually challenging work on meaningful problems while respecting your work/life balance. We believe the best work happens when people have time for life outside of work.
