Senior data architect

ph3Snowflake Data Architect /h3 h3Role Overview /h3 pWe are seeking an experienced bSnowflake Data Architect /b to design, develop, and govern scalable, secure, and high-performing cloud data platforms. The ideal candidate will have strong expertise in Snowflake, data architecture, cloud technologies, data modelling, and modern data engineering practices. /p pThe Snowflake Data Architect will work closely with data engineers, analysts, business stakeholders, and technology teams to define data architecture strategies and deliver robust data solutions that support analytics, reporting, data science, and business intelligence initiatives. /p h3Key Responsibilities /h3 ul liDesign and implement scalable, secure, and high-performance data architectures using Snowflake. /li liDefine enterprise data architecture, data models, data flows, integration patterns, and technology standards. /li liDevelop conceptual, logical, and physical data models aligned with business and analytical requirements. /li liDesign Snowflake databases, schemas, tables, views, stages, streams, tasks, and other platform components. /li liDefine and implement data ingestion and integration patterns for batch and real-time data. /li liDevelop and optimise ELT/ETL pipelines integrating data from a variety of source systems. /li liEstablish best practices for Snowflake performance optimisation, workload management, storage, and compute utilisation. /li liDesign security and access-control frameworks, including roles, privileges, data masking, row-level security, and other governance capabilities. /li liDefine data governance, metadata management, data quality, lineage, and lifecycle management practices. /li liSupport data migration and modernisation initiatives, including migration from legacy data warehouses and on-premises platforms to Snowflake. /li liEvaluate and recommend appropriate Snowflake features and cloud technologies based on business and technical requirements. /li liCollaborate with data engineering teams to establish development, deployment, and operational standards. /li liContribute to CI/CD, DevOps, automation, and infrastructure-as-code practices for data platforms. /li liTroubleshoot complex architectural, performance, scalability, and data integration issues. /li liProduce and maintain architecture documentation, standards, design patterns, and technical specifications. /li liProvide technical leadership and mentoring to data engineers and other technical team members. /li liStay current with developments in Snowflake, cloud data platforms, data engineering, and modern data architecture. /li /ul h3Required Skills and Experience /h3 ul liStrong experience designing and implementing enterprise-scale data platforms. /li liExtensive hands-on experience with bSnowflake /b and its architecture. /li liStrong understanding of data warehousing, dimensional modelling, data lakes, data lakehouses, and modern cloud data architectures. /li liExperience with SQL and database technologies. /li liStrong understanding of ETL/ELT concepts and data integration patterns. /li liExperience with cloud platforms such as bAWS, Microsoft Azure, or Google Cloud Platform /b. /li liKnowledge of data security, governance, privacy, and access-control principles. /li liExperience with data modelling tools and techniques. /li liUnderstanding of distributed data processing and large-scale data environments. /li liExperience working with APIs, databases, files, streaming platforms, and other data sources. /li liFamiliarity with data engineering and orchestration technologies such as bdbt, Apache Airflow, Azure Data Factory, AWS Glue, or similar tools /b. /li liExperience with source control, CI/CD, and DevOps practices. /li liStrong analytical, problem-solving, and communication skills. /li liAbility to translate business requirements into scalable technical architecture. /li /ul h3Desirable Skills /h3 ul liSnowflake certifications or relevant cloud certifications. /li liExperience with Snowflake features such as Snowpipe, Snowpipe Streaming, Streams, Tasks, Dynamic Tables, Snowpark, and Secure Data Sharing. /li liExperience implementing data mesh, data fabric, or lakehouse architectures. /li liExperience with real-time/streaming technologies such as Kafka. /li liExperience with dbt and modern analytics engineering practices. /liliKnowledge of data cataloguing /li /ul pGCS is acting as an Employment Business in relation to this vacancy. /p /p