Databricks Solution Architect

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🕒 Outubro 31

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $170.000 - $215.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

💻 Engenheiro de Soluções

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Clearstead

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🛡️ Seguros

⚖️ Jurídico

💸 Finanças

💰 $7.300.000 Venture Round em 2022-08

Insurance • Legal • Finance

A Clearstead é uma empresa de serviços financeiros que ajuda famílias de alta renda e instituições de destaque a alcançarem seus objetivos e aspirações financeiras. A empresa concentra-se em construir futuros mais sólidos para seus clientes, suas famílias e suas comunidades por meio de estratégias e soluções financeiras personalizadas.

Descrição

• Lead the architecture and development of the Azure Databricks platform, including Delta Lake, Unity Catalog, and medallion architecture • Establish technical standards, security controls, and scalable data integration frameworks • Oversee platform performance, monitoring, operational readiness, and cost optimization • Manage the transition of platform ownership from external implementation partners • Design, build, and maintain production data pipelines using PySpark, SQL, and Databricks Workflows • Integrate information from Salesforce, Orion, Addepar, PARis, and other enterprise systems • Develop data transformation, reconciliation, and quality assurance processes • Implement automated testing, deployment, and infrastructure management practices • Develop data infrastructure supporting AI applications, intelligent agents, and advanced analytics • Support document ingestion, vector search, model serving, and retrieval-augmented generation • Collaborate with the AI Engineer and Data Management Lead to deliver secure, scalable solutions • Serve as the technical design authority for the enterprise data platform • Evaluate vendor solutions and oversee implementation partner deliverables • Partner with business and technology leaders to translate requirements into effective solutions • Mentor developing engineers and promote engineering best practices • Design, implement, and maintain a secure, scalable, and high-performing Databricks platform • Develop and optimize production data pipelines, ensuring data accuracy, system reliability, cost management, and timely resolution of technical issues • Establish architecture standards, guide implementation partners, and collaborate with cross-functional teams to deliver solutions aligned with business objectives and regulatory requirements

🎯 Requisitos

• Bachelor's degree in Data, Information Systems, Computer Science, Business Analytics, or a related field, or equivalent combination of education and relevant professional experience • 10+ years of experience in data engineering, data architecture, or related disciplines • 4+ years designing and managing production Databricks environments • Expert knowledge of Azure Databricks, Unity Catalog, Delta Lake, and data architecture principles • Strong hands-on experience with PySpark, SQL, data pipelines, and data integration • Experience supporting AI or machine learning workloads within Databricks • Knowledge of Azure security, identity management, Terraform, and CI/CD practices • Demonstrated experience managing enterprise data platforms and external technology partners • Strong communication skills with the ability to translate technical concepts for business stakeholders • Advanced degree in Information Systems, Data Analytics, or a related discipline preferred • Certified Data Management Professional (CDMP), Databricks Data Engineer Associate or Professional, or comparable industry certifications preferred • Databricks Data Engineer Professional certification and additional platform administration or architecture credentials preferred • Experience with financial services, wealth management, or regulated data environments preferred • Familiarity with Salesforce Financial Services Cloud, Orion, or Addepar preferred • Experience with Power BI, Databricks AI/BI Genie, and Delta Sharing preferred • Ability to perform sitting and keyboarding duties • Attention, analysis, prioritization, interaction, and collaboration abilities • Occasional flexibility in work hours may be required

🏖️ Benefícios

• Fully remote work environment • Limited to no travel • Home-based work environment • Potential flexibility in work hours for system implementations, production incidents, or critical business operations

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