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
Requirements
The Data Architect should possess 10+ years of experience in data engineering or data architecture, with strong proficiency in enterprise architecture and data software engineering, and experience designing and implementing enterprise-scale data architectures in cloud environments such as GCP, AWS, or Azure. They should have a deep understanding of data warehousing, data lakes, and modern data stack tools, including BigQuery, Snowflake, Airflow, dbt, and Fivetran, along with knowledge of master data management, data governance, metadata management, data lineage, and security best practices. Furthermore, they must be fluent in designing and working with various data types, including structured, semi-structured, and unstructured data, and adept at implementing operational monitoring and alerting.
Responsibilities
The Data Architect will 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; 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 and schemas; evaluate and recommend tools and technologies to enhance the data platform’s performance and developer experience; provide architectural guidance on GenAI and ML initiatives; partner with cross-functional stakeholders to translate business requirements into data solutions; lead architectural reviews and mentor data engineers and analysts; and maintain comprehensive documentation of data architecture and system integrations.
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.
Key Metrics
Toronto, CanadaHeadquarters
2015Year Founded
$37.3MTotal Funding
SERIES_BCompany Stage
Consumer Software, Enterprise SoftwareIndustries
201-500Employees