Techtorch
Visit websiteData Architect
Salary not disclosed7+ yearsRemote
- Engineering
- Full time
- 2d ago
About the role
As a Data Architect at Techtorch, you will design, deploy, and govern modern data architectures that support enterprise-scale analytics and operational use cases. You will define data storage, integration, and security strategies while collaborating with stakeholders to build scalable platforms that serve as a foundation for AI initiatives. The role involves leading technical efforts, mentoring engineers, and ensuring architectural consistency across complex environments.
Responsibilities
- Develop and maintain enterprise data architecture, including models, flow diagrams, and integration frameworks
- Define and enforce architecture standards, governance models, and documentation practices
- Design scalable, flexible solutions that align with modern data warehousing and cloud-native best practices
- Drive the design and implementation of data integration pipelines and APIs across systems
- Lead efforts in data modeling, database design, and architecture optimization
- Collaborate with data engineers, analysts, and developers to ensure architectural consistency and performance
- Mentor and provide technical direction to engineers on the Data Practice team
- Oversee data quality, lineage, and security strategies across the organization
Required skills
- Data architecture
- Data modeling
- Data warehousing
- Database design
- Cloud data stacks
- ETL
- AI/ML
- Generative AI
- RAG
- SQL
- NoSQL
Nice to have
- dbt
- Snowflake
- Redshift
- BigQuery
- Salesforce
- NetSuite
- Power BI
- Tableau
Qualifications
- 7+ years of experience in data architecture, data engineering, or related roles in complex environments
- Demonstrated experience designing robust technical solutions for clients or customers
- Experience serving as a technical lead
Benefits
- Flexible remote-first work environment
- Semi-annual team offsites
About the Company
Techtorch's Data Practice sits at the intersection of enterprise data and applied AI, designing and building AI-native systems that drive decisions. The company focuses on speed, ownership, accountability, and results, serving private equity-backed companies.