BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches.
With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth.
We don't just strategize — we execute.
About the Role
BlueCloud is seeking an experienced Data Architect to lead the assessment, design, and modernization of enterprise data platforms, with a strong focus on Snowflake. This role combines architecture leadership, hands-on platform expertise, and direct client engagement.
You will define target-state architectures, assess existing data estates, establish modernization roadmaps, and guide multidisciplinary delivery teams through implementation. You will also help clients create secure, governed, cost-efficient, and AI-ready data platforms that support both current analytics requirements and future AI and context-layer initiatives.
The ideal candidate is a trusted technical advisor who can translate complex business requirements into practical architecture solutions and communicate effectively with engineering teams, business stakeholders, and executive sponsors.
Key Responsibilities
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Lead the architecture, assessment, and modernization of enterprise Snowflake data platforms.
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Define current-state and target-state architectures across data ingestion, transformation, storage, orchestration, governance, security, and consumption.
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Lead inventories and assessments of Python-, SQL-, and stored-procedure-based pipelines, classifying workloads by business criticality, frequency, volume, runtime, reliability, and cost.
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Analyze Snowflake usage telemetry to establish cost and performance baselines across pipelines, warehouses, and workloads.
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Identify architectural and engineering anti-patterns, including procedural row-by-row processing, unnecessary full refreshes, missing incremental patterns, redundant transformations, warehouse mis-sizing, and insufficient workload isolation.
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Recommend modernization strategies using set-based processing, incremental data patterns, Dynamic Tables, Streams and Tasks, Snowpark, dbt, and appropriate orchestration technologies.
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Design scalable data models, governed data domains, semantic layers, and context models that support analytics and AI use cases.
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Architect Snowflake Cortex solutions using capabilities such as Cortex Analyst, Cortex Search, and Cortex LLM functions.
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Establish architectural standards for security, access control, data governance, lineage, observability, performance, resilience, and business continuity.
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Design data lakehouse and real-time data-processing architectures across AWS, Azure, or GCP.
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Evaluate and recommend appropriate use of Snowflake Iceberg Tables and other open data architecture patterns.
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Build prioritized optimization backlogs and sequenced delivery roadmaps based on business impact, technical risk, cost, performance, and implementation effort.
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Provide technical leadership across multiple concurrent projects and guide engineers, analysts, QA specialists, and DevOps teams.
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Support project planning, estimation, scope definition, dependency management, risk mitigation, and technical governance.
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Lead discovery workshops and interviews with client stakeholders and subject-matter experts.
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Present architecture decisions, assessment findings, quantified impact projections, and roadmap recommendations to technical and executive audiences.
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Act as a trusted advisor to clients throughout architecture and delivery engagements.
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Create and maintain architecture diagrams, decision records, technical standards, and platform documentation.
Required Qualifications
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10+ years of experience in data architecture, data engineering, or a comparable senior technical role.
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At least 2–4 years of deep Snowflake architecture and implementation experience.
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Proven experience designing and modernizing enterprise-scale Snowflake data platforms.
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Strong knowledge of Snowflake environment design, security, governance, data modeling, workload management, and performance and cost optimization.
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Hands-on experience with Snowflake capabilities including Snowpark, Dynamic Tables, Streams and Tasks, stored procedures, and system usage views.
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Expert-level SQL and strong Python skills.
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Strong experience with dbt and data pipeline or orchestration technologies such as Fivetran, Kafka, Airflow, or similar tools.
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Experience designing batch, streaming, lakehouse, and cloud-native data architectures.
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Strong understanding of data governance, access control, lineage, data quality, and metadata management.
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Experience with at least one major cloud platform: AWS, Azure, or GCP.
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Proven ability to lead discovery, assessment, architecture, and modernization engagements.
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Experience providing technical leadership across multidisciplinary Agile delivery teams.
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Strong client-facing, presentation, and stakeholder-management skills.
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Ability to communicate complex technical concepts clearly to engineering teams, business leaders, and executive sponsors.
Preferred Qualifications
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Hands-on experience with Snowflake Cortex, including Cortex Analyst, Cortex Search, or Cortex LLM functions.
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Experience building governed semantic or context layers for AI and LLM-based applications.
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Experience with Snowflake Iceberg Tables and open lakehouse architectures.
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Familiarity with Terraform, CI/CD, and infrastructure-as-code practices.
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Experience with FinOps, cloud cost governance, and Snowflake consumption optimization.
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Experience designing business continuity and disaster recovery solutions.
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SnowPro Advanced: Architect or SnowPro Core certification.
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Consulting or enterprise client-delivery experience.
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Experience acting as a technical delivery lead or Scrum Master when required.
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Familiarity with Jira, Confluence, and architecture tools such as Lucidchart.