Data Architect - Talent Pipeline
BlueCloud· BlueCloud (Talent Pipeline)
Hybrid (Onshore & Remote)$0Bench hiringPosted 2mo ago
About the role
Senior data architect role focusing on assessment, design, and modernization of enterprise data platforms with emphasis on Snowflake, architecture leadership, hands-on platform work, and client engagement.
Responsibilities
- Lead the architecture, assessment, and modernization of enterprise Snowflake data platforms.
- Define current-state and target-state architectures across data ingestion, transformation, storage, orchestration, governance, security, and consumption.
- Lead inventories and assessments of Python-, SQL-, and stored-procedure-based pipelines, classifying workloads by business criticality, frequency, volume, runtime, reliability, and cost.
- Analyze Snowflake usage telemetry to establish cost and performance baselines across pipelines, warehouses, and workloads.
- Identify architectural and engineering anti-patterns and recommend modernization strategies.
- Design scalable data models, governed data domains, semantic layers, and context models for analytics and AI use cases.
- Architect Snowflake Cortex solutions using Cortex Analyst, Cortex Search, and Cortex LLM functions.
- Establish architectural standards for security, access control, data governance, lineage, observability, performance, resilience, and business continuity.
- Design data lakehouse and real-time data-processing architectures across AWS, Azure, or GCP.
- Evaluate and recommend use of Snowflake Iceberg Tables and other open data patterns.
- Build and maintain backlogs and roadmaps prioritizing business impact, risk, cost, performance, and effort.
- Provide technical leadership across projects and guide multidisciplinary teams.
- Support project planning, estimation, scope definition, dependency management, risk mitigation, and governance.
- Lead discovery workshops and interviews with client stakeholders.
- Present architecture decisions and roadmaps to technical and executive audiences.
- Act as trusted advisor to clients during engagements.
- Create and maintain architecture diagrams, decision records, standards, and documentation.
Qualifications
- 10+ years of experience in data architecture, data engineering, or a comparable senior technical role.
- At least 2–4 years of deep Snowflake architecture and implementation experience.
- Proven experience designing and modernizing enterprise-scale Snowflake data platforms.
- Strong knowledge of Snowflake environment design, security, governance, data modeling, workload management, and optimization.
- Hands-on experience with Snowflake capabilities including Snowpark, Dynamic Tables, Streams and Tasks, stored procedures, and usage views.
- Expert-level SQL and strong Python skills.
- Strong experience with dbt and data pipeline/orchestration tools (e.g., Fivetran, Kafka, Airflow).
- Experience designing batch, streaming, lakehouse, and cloud-native data architectures.
- Strong understanding of data governance, access control, lineage, data quality, and metadata management.
- Experience with at least one major cloud platform: AWS, Azure, or GCP.
- Proven ability to lead discovery, assessment, architecture, and modernization engagements.
- Experience providing technical leadership across Agile delivery teams.
- Strong client-facing, presentation, and stakeholder-management skills.
- Ability to communicate complex concepts to engineering teams, business leaders, and executives.
Skills
Required:Snowflake architectureSQLPythondbtData governance
Nice to have:Snowflake Cortex
Benefits
- :Competitive compensation
- :Health, dental, and vision insurance
- :401(k) with company match
- :Paid time off and holidays
- :Professional development and career growth opportunities
- :Flexible remote/hybrid work options (onshore/remote)
Last updated Aug 5, 2026. Interested? Apply on the company site.
About BlueCloud
Delivering Enterprise AI, through high-performing and scalable global teams
BlueCloud pioneers digital transformation for businesses through data, analytics, and Gen-AI with scalable, affordable and high-performing global teams.
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