Data Architect Principal
SagentSalary not specified
- Full Time
- Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Software, Partnership Ecosystems, Data InfrastructureIndustries
Position Overview
- Location Type: [Not Specified]
- Job Type: [Not Specified]
- Salary: [Not Specified]
PartnerStack is seeking a seasoned and highly skilled Data Architect to build the organization’s next generation of data infrastructure development. This role requires a strategic, highly technical individual passionate about designing scalable, secure, and high-performance data ecosystems. The ideal candidate thrives in complex environments, enjoys solving architectural challenges, and is excited about shaping the future of data infrastructure. You bring deep expertise in data modeling, integration, and governance, and are fluent in both the technical and business dimensions of data strategy. Curiosity, continuous learning, and exploration of emerging technologies and architectural patterns are key. This role involves executing your vision and actively working within our data systems and processes.
About PartnerStack
At PartnerStack, we’re passionate about software and the partnership space — and we’re not afraid to shake things up! Our mission is to change how the world sells software by creating partnerships that unlock growth. We’re an ecosystem platform with the world’s largest B2B partnerships network, with over 500+ companies using PartnerStack to generate and sustain revenue. Transforming the industry requires the right people. We'd love to meet you if you’re interested in making partnerships and ecosystems a game-changer in the software industry! We’re a high-impact and cross-team collaboration culture, empowering our teams to achieve success together.
Responsibilities
- Design and evolve PartnerStack’s data architecture, ensuring alignment with business goals, scalability, and long-term sustainability.
- Define and enforce data modeling standards and best practices across the organization.
- Architect and implement data pipelines, integrations, and orchestration frameworks.
- Lead the design of data governance frameworks, including data quality, lineage, cataloging, and access control policies.
- Collaborate with engineering teams to define data contracts, schemas, and APIs that ensure consistency and interoperability across systems.
- Evaluate and recommend tools, platforms, and technologies to enhance the data platform’s performance, reliability, and developer experience.
- Provide architectural guidance on GenAI and ML initiatives, ensuring data readiness, scalability, and compliance.
- Partner with cross-functional stakeholders (Product, Engineering, Analytics, and Business teams) to translate business requirements into robust data solutions.
- Lead architectural reviews, conduct design sessions, and mentor data engineers and analysts on architectural principles and best practices.
- Maintain comprehensive documentation of data architecture, standards, and system integrations to support transparency and knowledge sharing.
Skills We’re Looking For
- 10+ years of experience in data engineering, data architecture, or a related technical role, with strong proficiency in enterprise architecture, data and software engineering.
- Proven experience designing and implementing enterprise-scale data architectures in cloud environments (e.g., GCP, AWS, or Azure).
- Deep understanding of data warehousing, data lakes, and modern data stack tools (e.g., BigQuery, Snowflake, Airflow, dbt, Fivetran, Looker).
- Ability to create scalable designs capable of supporting high workloads and large numbers of simultaneous users, processes and integrations.
- Strong knowledge of master data management, data governance, metadata management, data lineage, and security best practices.
- Fluent in designing and working with various data types including structured, semi-structured, and unstructured data.
- Ability to implement operational monitoring and alerting for all aspects of the system.
- Proven experience designing and implementing CI/CD, and DevOps practices in data environments.
- Adept at designing highly scalable, distributed and fault tolerant data architectures ensuring full high availability.
Application Instructions
- Ready to be a part of our team? Apply now.
Skills
Data Modeling
Data Integration
Data Governance
Data Architecture
Data Pipelines
Data Security
Data Quality
Data Lineage
Data Cataloging
Scalability
High-Performance Data Ecosystems
Architectural Design
Data Strategy
Emerging Technologies
PartnerStack
Platform for managing partnership programs
About PartnerStack
PartnerStack helps businesses grow by facilitating partnerships through its platform. This platform allows companies to easily launch and manage various types of partner programs, including affiliate marketing, referral partnerships, and reseller arrangements. Users can automate tasks such as tracking performance, managing payouts, and onboarding new partners, making it accessible even for those without extensive experience in partnership management. PartnerStack serves a wide range of clients, from small startups to large enterprises, and operates in the growing partnership management software sector within the software-as-a-service (SaaS) industry. Unlike many competitors, PartnerStack focuses on providing a user-friendly experience and a subscription-based model that ensures continuous improvement of their services. The company's goal is to empower businesses to leverage partnerships effectively to drive sales and expand their market reach.
Toronto, CanadaHeadquarters
2015Year Founded
$37.3MTotal Funding
SERIES_BCompany Stage
Consumer Software, Enterprise SoftwareIndustries
201-500Employees