Senior Data Architect, Snowflake, Databricks

🔥 12 hours ago

🇮🇪 Ireland – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 19%

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8 West Consulting

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

8 West Consulting is an ISO 27001 certified, award-winning enterprise software development company based in Cork, Ireland. With a team of over 220 professionals and a 25-year history, 8 West specializes in delivering innovative software solutions for businesses, ensuring on-time delivery and consistent quality in their services.

📋 Description

• Advise business and technology leaders through discovery workshops, priority clarification and architectural option analysis • Shape enterprise data architectures by assessing legacy estates and designing warehouse or lakehouse platforms, integration patterns, migration stages and target operating arrangements • Lead data migration and integration, including ETL/ELT, batch and incremental ingestion, change data capture, orchestration, reconciliation, testing and production cutover • Review and troubleshoot SQL, pipelines, data models and integrations, addressing reliability, performance and cost • Design data layers using data modelling and medallion Bronze/Silver/Gold patterns, with data quality, lineage, security and lifecycle controls • Design governed data sharing between organisations and assess private exchange, Marketplace and commercially viable data offerings • Own roadmaps, dependencies, architecture decisions and stakeholder updates while documenting risks and trade-offs • Transfer knowledge, mentor delivery teams and identify further consulting opportunities in platform engineering, governance, analytics and AI • Deliver architecture decisions, migration roadmaps, reliable production data platforms, governed pipelines, data models and sharing solutions for clients

🎯 Requirements

• Significant hands-on experience designing, implementing or migrating production enterprise workloads on at least one of Snowflake or Databricks • Snowflake expertise in platform architecture, data loading and ELT, warehouse performance and cost, security, and capabilities such as Snowpipe, Streams, Tasks, Dynamic Tables, secure sharing or Marketplace listings • Databricks expertise in lakehouse architecture, Delta Lake, Spark/PySpark or Databricks SQL, Unity Catalog, and ingestion/orchestration capabilities such as Lakeflow, Auto Loader, Delta Sharing or Marketplace • Proven enterprise data migration and engineering experience across complex sources, source-to-target mapping, ETL/ELT, pipeline orchestration, data quality, reconciliation and controlled production transition • Strong SQL expertise across relational platforms such as SQL Server, Oracle or PostgreSQL • Experience with dimensional and layered/medallion data models, query tuning and transformation logic • Practical understanding of access control, lineage, auditability, sensitive data, governed sharing and reusable data products • Ability to lead workshops, challenge assumptions constructively and present technical strategy and delivery recommendations to business executives and engineering leaders • Demonstrable experience leading significant data initiatives through discovery, architecture, planning and implementation, managing dependencies, milestones and stakeholder expectations • Experience across both Snowflake and Databricks would be an advantage • AWS, Microsoft Azure or Google Cloud migration experience would be advantageous • Relevant cloud certifications would be advantageous • Experience with Power BI, Tableau, Python, dbt, Airflow or equivalent orchestration tools would be advantageous • Relevant SnowPro, Databricks, AWS, Azure or other cloud/data credentials would be advantageous • Structured, credible and pragmatic consulting approach • Clear communication with senior stakeholders and engineering teams • English communication ability is assessed in the application questions

🏖️ Benefits

• Long-term role across multiple client engagements • Opportunities for professional development through knowledge transfer and mentoring • Exposure to Snowflake and Databricks consulting engagements • Opportunities to work across insurance, healthcare and retail sectors • Opportunities to work on analytics, AI and data products

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