Data Architect - Snowflake + Python
Birchtree Consulting
- Location
- Noida, Uttar Pradesh, India
- Job type
- Full-time
Required skills
- Agile
- Airflow
- AWS
- Azure
- data architecture
- data ingestion
- data modeling
- data models
- data pipeline
- DevOps
- GCP
- infrastructure-as-code
- Kafka
- metadata management
- Snowflake
- Terraform
About the role
Website:
Job details:
Key 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, including procedural row-by-row processing, unnecessary full refreshes, missing incremental patterns, redundant transformations, warehouse mis-sizing, and insufficient workload isolation.
- Recommend modernization strategies using set-based processing, incremental data patterns, Dynamic Tables, Streams and Tasks, Snowpark, dbt, and appropriate orchestration technologies.
- Design scalable data models, governed data domains, semantic layers, and context models that support analytics and AI use cases.
- Architect Snowflake Cortex solutions using capabilities such as 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 appropriate use of Snowflake Iceberg Tables and other open data architecture patterns.
- Build prioritized optimization backlogs and sequenced delivery roadmaps based on business impact, technical risk, cost, performance, and implementation effort.
- Provide technical leadership across multiple concurrent projects and guide engineers, analysts, QA specialists, and DevOps teams.
- Support project planning, estimation, scope definition, dependency management, risk mitigation, and technical governance.
- Lead discovery workshops and interviews with client stakeholders and subject-matter experts.
- Present architecture decisions, assessment findings, quantified impact projections, and roadmap recommendations to technical and executive audiences.
- Act as a trusted advisor to clients throughout architecture and delivery engagements.
- Create and maintain architecture diagrams, decision records, technical standards, and platform documentation
Required Qualifications :
- 10+ years of experience in data architecture, data engineering, or a comparable senior technical role.
- At least 2 to 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 performance and cost optimization.
- Hands-on experience with Snowflake capabilities including Snowpark, Dynamic Tables, Streams and Tasks, stored procedures, and system usage views.
- Expert-level SQL and strong Python skills.
- Strong experience with dbt and data pipeline or orchestration technologies such as Fivetran, Kafka, Airflow, or similar tools.
- 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 multidisciplinary Agile delivery teams.
- Strong client-facing, presentation, and stakeholder-management skills.
- Ability to communicate complex technical concepts clearly to engineering teams, business leaders, and executive sponsors.
Preferred Qualifications
- Hands-on experience with Snowflake Cortex, including Cortex Analyst, Cortex Search, or Cortex LLM functions.
- Experience building governed semantic or context layers for AI and LLM-based applications.
- Experience with Snowflake Iceberg Tables and open lakehouse architectures.
- Familiarity with Terraform, CI/CD, and infrastructure-as-code practices.
- Experience with FinOps, cloud cost governance, and Snowflake consumption optimization.
- Experience designing business continuity and disaster recovery solutions.
- SnowPro Advanced: Architect or SnowPro Core certification.
- Consulting or enterprise client-delivery experience.
- Experience acting as a technical delivery lead or Scrum Master when required.
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