Data Architect

TechTorch Data Practice

Data Architect

Architect end-to-end products on a solid data foundation, with AI as a force multiplier.

Data Practice | Remote (Global) | Senior

About the Practice

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.

The Role

As a Data Architect, you will be responsible for designing, deploying, and governing modern data architectures that support enterprise-scale analytics, reporting, and operational use cases. You’ll define how data is stored, integrated, accessed, and secured across systems — aligning data strategy with business priorities.

You will 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. Your work will ensure data integrity, security, and usability, serving as a foundation for advanced analytics and AI initiatives.

What You'll Do

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

Who You Are

We’re looking for high-caliber professionals who meet the following criteria:

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

Our Values

Our values reflect the DNA of the private equity-backed companies we serve — focused on speed, ownership, accountability, and results:

Client First – We focus relentlessly on delivering outcomes that create value for our clients

We, Not Me – We win together. Collaboration drives transformation at scale

Get Stuff Done – We execute with speed and precision — because in PE, time matters

AI First – We embed AI at the core, enabling scalable, high-leverage solutions

Own It – We take accountability for results, delivering on what we promise

Agile Mindset – We adapt quickly and proactively seek better ways to move forward

What We Offer

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.