Job Application for Data Architect at Factored

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Fully remote | Complete engagement job

Founded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U.S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To empower brilliant humans, unleash their potential, and amplify their impact in the world.

At Factored, you’ll be part of a community that values learning, ownership, and authenticity, where your growth is personal and your ideas matter. We’re transparent, curious, and collaborative. We strive for excellence, celebrate diversity, encourage curiosity, and build an environment where you can truly thrive.

As a Data Architect, you will engage full-time in designing and evolving the data architectures that power intelligent products for global and Fortune 500 organizations. You will define scalable data models, architect distributed data systems, and establish the foundational structures that enable operational applications, analytics, and AI-driven products.

This role is ideal for engineers who enjoy solving complex data architecture challenges, translating business domains into well-designed data models, and building production-ready schemas that support both transactional and analytical workloads. You'll work closely with software engineers, platform teams, and stakeholders to create data architectures that are scalable, maintainable, and built for long-term growth.

We are especially interested in candidates with strong expertise in relational data modeling, PostgreSQL, event-driven architectures, and modern cloud data platforms such as Snowflake and Databricks. Experience designing distributed systems and domain-driven architectures is highly valued.

Functional Responsibilities:

Design scalable conceptual, logical, and physical data models that support business applications and analytics.
Architect and implement production-ready database schemas for complex business domains using relational databases such as PostgreSQL.
Define data architecture standards, naming conventions, governance principles, and modeling best practices.
Design scalable data structures that support transactional systems, reporting, machine learning, and AI use cases.
Develop entity relationship diagrams (ERDs), data dictionaries, and architecture documentation to support long-term maintainability.
Design efficient indexing strategies, partitioning approaches, and query optimization techniques to improve performance at scale.
Establish data modeling patterns for distributed systems and domain-driven architectures.
Design event-driven data models and schemas that enable reliable communication across services using technologies such as Kafka.
Collaborate with engineering teams to define data contracts, schema evolution strategies, and data quality standards.
Design cross-service data patterns using logical references and event-based integrations while maintaining clear ownership boundaries.
Partner with Data Engineering, Software Engineering, AI/ML, and Analytics teams to ensure data architectures support both operational and analytical workloads.
Support data migration initiatives, including schema evolution, legacy modernization, and data validation strategies.
Ensure data architectures meet security, compliance, governance, and scalability requirements.
Contribute to architectural decisions around cloud-native data platforms and modern data ecosystems.

Qualifications:

5+ years of professional experience designing and implementing production-grade data architectures.
Strong computer science fundamentals, including databases, distributed systems, algorithms, and software design principles.
Expert knowledge of relational database design and normalization techniques.
Extensive experience with PostgreSQL, including schema design, indexing, query optimization, constraints, and performance tuning.
Experience designing conceptual, logical, and physical data models.
Strong understanding of domain-driven design (DDD) principles and service-oriented or microservice architectures.
Experience designing event-driven systems using technologies such as Kafka.
Experience designing schemas that support both operational systems and analytical data platforms.
Experience with cloud data platforms such as Snowflake, Databricks, or similar technologies.
Experience working with cloud platforms such as AWS, GCP, or Azure.
Experience with infrastructure and cloud-native technologies such as Kubernetes or Terraform is a plus.
Experience modeling hierarchical or multi-tenant data structures is highly desirable.
Experience designing authorization, identity, and access-control data models is a plus.
Familiarity with JSON/JSONB data modeling and schema evolution strategies.
Experience supporting large-scale data migrations and modernization initiatives.
Familiarity with version control systems such as Git.
Strong communication skills and the ability to translate complex business requirements into scalable technical solutions.
Excellent verbal and written communication skills in English.

Our Benefits:

Ownership through equity participation.
Annual company retreat.
Education bonus for continuous learning.
Company-wide winter break.
Paid time off.
Optional in-person events and meetups.
Tailored career roadmaps.
High-performance culture.

At Factored, we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team. Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, and fun to be around. Life is too short to work with people who don’t inspire you.

We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth are available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts.

In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission. When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.

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Data Architect

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