Data Architect

Techtorch

8d • Remote

About The Position

TechTorch's Data Practice sits at the intersection of enterprise data and applied AI. We design and build AI-native systems that don't just analyze the past — they actively drive decisions. Our work spans data infrastructure and pipelines, intelligent automation, and full-stack AI applications across industries.
We work the way the best client-delivery teams now operate: small teams, deep ownership, no hand-offs at boundaries. We take problems from a client whiteboard to production, and we let AI do the heavy lifting wherever it earns its place.

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).
• Hands-on experience with ETL/integration tools (e.g., Talend, Informatica).
• Familiarity with building and/or designing reporting solutions for business stakeholders (e.g., Power BI, Tableau).
• 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.

Responsibilities

• Design, deploy, and govern modern data architectures that support enterprise-scale analytics, reporting, and operational use cases.
• Define how data is stored, integrated, accessed, and secured across systems — aligning data strategy with business priorities.
• Collaborate with both business and technology stakeholders to design scalable and efficient data platforms, define data modeling standards, and enable seamless integration across the enterprise.
• Ensure data integrity, security, and usability, serving as a foundation for advanced analytics and AI initiatives.
• 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.

Benefits

• Flexible, remote-first work environment with high-performance expectations and autonomy.
• Semi-annual team offsites — we come together in person at least twice a year to connect, recharge, and do the work that's better face-to-face.
• A team that takes AI tooling seriously and expects you to integrate it into your work.
• High-autonomy, high-ownership work across the full arc of real client problems.
• Access to the full modern data and AI stack — no one-tool shops.
• Exposure to top-tier private equity firms and their portfolio companies.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed