Data Architect

About the role

DataTorch's Data Practice combines enterprise data and applied AI to design and build AI-native systems that drive decisions. We work collaboratively to transform ideas into production, leveraging AI where it adds value.

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, including full-stack engineers building applications on top of the data foundation
• Oversee data quality, lineage, and security strategies across the organization
• Provide guidance on big data technologies, ETL platforms, and modern cloud ecosystems
• Support strategic decisions through architectural reviews, proofs of concept, and solution roadmaps

Requirements

• 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 - mentoring, coaching, and setting technical direction for data engineers, analysts, and other technical resources
• Strong background in data modeling (conceptual, logical, physical), warehousing (e.g., Snowflake, Redshift, BigQuery), and database design
• Familiarity with modern data transformation practices (e.g., dbt) and dimensional modeling patterns, including Slowly Changing Dimensions (SCD)
• Proficient in data modeling tools (e.g., ER/Studio, Erwin) and relational/NoSQL databases (e.g., SQL Server, Oracle, MongoDB)
• Fluent with AI coding agents (e.g., Claude Code, Cursor) as production accelerators, with the credibility to evaluate and coach engineers on how they use them
• Skilled in applying AI/ML to complex data challenges, including designing architectures for generative AI and RAG solutions, and automating data pipelines
• Experience with CRM and/or ERP ecosystems (e.g., Salesforce, NetSuite) and analyzing data to uncover quality issues, identify revenue leakage and/or drive operational efficiency
• Knowledge of modern cloud data stacks (e.g., Azure, AWS, GCP) and building/designing reporting solutions for business stakeholders (e.g., Power BI, Tableau)
• Hands-on experience with ETL/integration tools (e.g., Talend, Informatica)
• Comfortable contributing to business development activities such as supporting proposals, scoping projects, and growing accounts
• Strategic mindset with a focus on business value, scalability, and performance
• Excellent communication skills and ability to influence cross-functional stakeholders
• Adaptable, collaborative, and continuously improving in a fast-paced delivery environment

Qualifications

• Fluent with AI coding agents (e.g., Claude Code, Cursor) as production accelerators, with the credibility to evaluate and coach engineers on how they use them
• Skilled in applying AI/ML to complex data challenges, including designing architectures for generative AI and RAG solutions, and automating data pipelines
• Experience with CRM and/or ERP ecosystems (e.g., Salesforce, NetSuite) and analyzing data to uncover quality issues, identify revenue leakage and/or drive operational efficiency
• Knowledge of modern cloud data stacks (e.g., Azure, AWS, GCP) and building/designing reporting solutions for business stakeholders (e.g., Power BI, Tableau)
• Hands-on experience with ETL/integration tools (e.g., Talend, Informatica)
• Comfortable contributing to business development activities such as supporting proposals, scoping projects, and growing accounts
• Strategic mindset with a focus on business value, scalability, and performance
• Excellent communication skills and ability to influence cross-functional stakeholders
• Adaptable, collaborative, and continuously improving in a fast-paced delivery environment

Skills

• AI/ML expertise
• Data modeling and warehousing
• Database design and optimization
• ETL and integration tools
• CRM and ERP ecosystems
• Modern cloud data stacks
• Reporting solutions

Benefits

• Flexible, remote-first work environment
• Semi-annual team offsites
• High-performance autonomy and ownership
• Access to the full modern data and AI stack
• Exposure to top-tier private equity firms and their portfolio companies

Pay

$150,000 - $200,000 annually

Schedule

Full-time, remote position