Job description
Summary of the Role
Data Solutions Architect to work within a dynamic, remote-first data architecture capability delivering cloud-based data solutions
Responsible for designing and delivering solutions using RDBMS, ETL and ELT, and cloud platforms for blue-chip clients across multiple sectors
Lead cross-functional teams including Data Engineers, Architects, Business Analysts, and QA Analysts in an Agile environment
Own end-to-end technical delivery, stakeholder engagement, and solution quality
Experience and Leadership
Proven experience in data architecture in a senior or lead role
Demonstrated experience leading architectural design and strategy for complex data solutions using Snowflake
Experience overseeing end-to-end delivery of enterprise data platforms
Background in consulting environments delivering custom data architecture solutions
Experience within the insurance sector considered an advantage
Architectural Expertise
Strong expertise in designing and delivering end-to-end data solutions including data warehousing, pipelines, and analytics using Snowflake
Experience applying Data Mesh and Data Fabric architectural patterns
Proven ability to develop data product strategies with a product-led mindset
Extensive experience across cloud platforms including Snowflake, AWS, Azure, and GCP
Experience integrating Snowflake with cloud services and big data tools
Strong understanding of cloud infrastructure and its impact on data architecture
Data Technology Skills
Deep hands-on experience with Snowflake features, capabilities, and best practices
Strong understanding of data modelling principles and techniques
Solid knowledge of big data technologies such as Apache Spark
Working knowledge of Hadoop ecosystems
Experience with programming languages such as Python, R, or Java
Knowledge of ETL and ELT processes including DBT
Experience with SQL and NoSQL databases
Exposure to data visualisation tools and DevOps principles and tools
Familiarity with machine learning and AI concepts and their integration into data architectures
Design and Lifecycle Management
Proven experience designing modern, scalable, and resilient data architectures
Strong understanding of the full data architecture lifecycle from concept to deployment and consumption
Data Management and Governance
Strong knowledge of data management principles and best practices
Experience implementing data governance frameworks
Understanding of data security and compliance requirements including GDPR, CCPA, HIPAA, or similar regulations
Leadership and Communication
Strong leadership capability to guide and manage architects and technical specialists
Excellent communication and interpersonal skills
Proven ability to influence architectural decisions and guide best practices with stakeholders and clients
Project and Stakeholder Management
Experience working within agile delivery frameworks including SAFe, Scrum, and Kanban
Ability to manage budgets, timelines, and resources while maintaining focus on architectural outcomes
Qualifications
Matric and a bachelors degree in Business Administration, Information Systems, or a related field
SAFe or Scrum certification preferred
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.