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Sr. Snowflake Architect

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Onsite

Sr. Snowflake Architect

W3Global

Sr. Snowflake Architect

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonKafkaSnowflakeDatabricksAWSdbtOracleApache AirflowTerraformAzure

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

Edinburgh, UK

Work mode:

Onsite

Published on:

17 September 2026

What they need


Required Skills & Experience

  • 20+ years in data architecture and engineering, including 8-10+ years in lead/enterprise architect roles delivering large-scale data platforms, with at least 5+ years of hands-on Snowflake architecture experience.
  • Proven track record architecting and delivering enterprise data warehousing and lakehouse solutions on Snowflake, including migrations from legacy EDW (Teradata, Oracle, SQL Server, etc.) and modern platforms (BigQuery, Redshift, Synapse, etc.).
  • Deep data modeling expertise (dimensional, Data Vault, 3NF) and semantic design, including Snowflake semantic views and Horizon Context.
  • Strong ELT/ETL and orchestration background - Snowflake-native pipelines (Snowpipe, Dynamic Tables, Streams, Tasks), dbt (including dbt Projects on Snowflake), Airflow, Azure Data Factory, Informatica, or similar.
  • Hands-on experience with major cloud platforms (AWS, Azure, or GCP) - including Snowflake deployment, networking (Private Link), and cloud storage integration (S3, ADLS, GCS); familiarity with lakehouse stacks (Databricks, Delta Lake, Apache Iceberg) is a plus.
  • Mastery of Snowflake security and governance: RBAC, tag-based governance, dynamic data masking, row access policies, column-level security, Tri-Secret encryption, network policies, Horizon Catalog, access history, and data classification.
  • Streaming and CDC patterns (Kafka, Kinesis, Snowpipe Streaming) and event-driven architectures for near real-time use cases.
  • Data governance and metadata management (catalogs, lineage, MDM, data quality frameworks) with familiarity in regulatory regimes (e.g., GDPR/CCPA/HIPAA/PCI-DSS/SOX).
  • Proficiency in SQL and at least one programming language for data engineering (Python preferred), plus CI/CD and IaC (Git, pipelines, Terraform/CloudFormation) - including declarative, version-controlled Snowflake object management.
  • Proven ability to assess legacy estates, create pragmatic Snowflake migration roadmaps, and deliver phased outcomes with measurable business value.
  • Excellent communication and stakeholder management; ability to influence architecture decisions and align cross-functional teams.
  • Snowflake certifications (SnowPro Core, SnowPro Advanced: Architect) are strongly preferred

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