
Solution Architect
Posted 7 hours ago

Posted 7 hours ago
This is a fully remote position, open to applicants in United States, +4 more locations.
• Develop forward-looking data strategies that align with client business goals and adhere to industry best practices.
• Design and manage extensive AI, lakehouse, and warehouse deployments using Databricks and other cloud-native technologies.
• Craft solutions that integrate on-premises systems with multiple cloud environments.
• Architect batch and streaming ingestion processes, real-time data processing, and ELT/ETL methodologies.
• Ensure security, privacy, compliance, and maintain high data quality across large scales.
• Address complex data engineering challenges and make strategic decisions to mitigate delivery risks.
• Integrate emerging technologies and methodologies into solutions.
• Enhance performance, optimize costs, ensure scalability, and promote maintainability.
• Mentor engineers, evaluate architectures and code, and support implementation teams.
• Lead technical discovery sessions, shape solution architectures, respond to RFPs, and present demos and proofs of concept.
• Develop technical blueprints and suggest suitable tools, frameworks, and design patterns.
• Collaborate with sales and account teams to define project scopes and shape technical proposals.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
• Over 5 years of experience in data analytics and architecture, particularly with large-scale cloud deployments.
• At least 4 years in a client-facing role, ideally within a professional services firm.
• Demonstrated success in designing and implementing modern data lakehouses, warehouses, and pipelines on AWS, Azure, or GCP.
• Familiarity with data models, ETL pipelines, integration specifications, security policies, access controls, and infrastructure configuration.
• Expert-level knowledge of Databricks and Spark (mandatory).
• Experience in creating proofs of concept, technical presales presentations, and pricing for engagements.
• Excellent client-facing communication skills with the capacity to influence both technical and executive stakeholders.
• Proficient with Google Workspace, MacOS, Slack, and Atlassian tools.
• Must be eligible to work without sponsorship.
• Competitive salary and performance-based bonuses.
• Opportunities for professional development and career advancement.
• Comprehensive health, dental, and vision insurance plans.
• Flexible work arrangements and remote work options.
• Collaborative and inclusive work environment.
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