Databricks Solution Architect

Job not on LinkedIn

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $170k - $215k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 0%

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Clearstead

WebsiteLinkedInAll Job Openings

51 - 200 employees

🛡️ Insurance

⚖️ Legal

💸 Finance

💰 $7.3M Venture Round on 2022-08

Insurance • Legal • Finance

Clearstead is a financial services firm that helps wealthy families and prominent institutions achieve their financial objectives and aspirations. The company focuses on building stronger futures for clients, their families, and their communities through tailored financial strategies and solutions.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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