
Senior Architect – Data Platforms, Architecture
Posted Oct 30

Posted Oct 30
This is a fully remote position, open to applicants in United States.
• Lead the architectural vision and technical strategy for multi-team Azure modernization and transformation initiatives across applications, platforms, and data.
• Transform client objectives into scalable designs that align with business priorities, non-functional requirements, delivery constraints, and program outcomes.
• Foster shared architectural models, standards, patterns, interfaces, and integration across various teams.
• Offer architectural guidance throughout the implementation phase, including design and code reviews, reusable patterns, and guardrails.
• Leverage AI-assisted tools for design, code, testing, documentation, and analysis, while helping teams adopt best practices.
• Lead or co-lead discovery and roadmap initiatives, translating inputs into integrated, testable backlogs with well-defined requirements and dependencies.
• Clarify scope, dependencies, risks, value, cost, and time-to-impact at the program level.
• Convey architecture strategy and decisions to both technical and non-technical stakeholders, including executives.
• Cultivate trusted relationships with product, engineering, and technology leaders to shape modernization roadmaps.
• Provide architectural oversight to ensure predictable delivery and stable team velocity.
• Align teams on shared outcomes, contracts, and integration points while tracking dependencies throughout the delivery process.
• Define delivery methodologies, working agreements, and documentation practices across various locations and time zones.
• Support Agile at scale with architectural and backlog structures that facilitate incremental delivery and data-informed adjustments.
• Mentor architects, senior engineers, and technical leads, contributing to hiring, calibration, and development planning.
• Engage in business development, strategic pursuits, client workshops, demos, and roadmap sessions.
• Develop solution options, high-level designs, estimates, and documentation linked to business value and risk mitigation.
• Create reusable assets such as reference architectures, runbooks, workshops, starter repositories, and templates.
• Advocate for modern frameworks, patterns, platform capabilities, automation, and AI-assisted tools.
• Participate in enablement initiatives and share insights from complex engagements.
• Over 10 years of experience delivering solutions in a primary technical domain.
• More than 5 years of experience in solution architecture and leading development or engineering teams, including multi-team or multi-workstream efforts.
• At least 8 years of experience in data engineering, with 4 or more years focused on architecting data solutions on Azure.
• In-depth expertise in Microsoft Azure, including experience with Databricks and/or Fabric.
• Proficient in designing and implementing modern data architectures, encompassing data lakes, data warehouses, lakehouses, data mesh, and streaming pipelines.
• Skilled in Python, PySpark, SQL, and data engineering frameworks.
• Familiar with Azure DevOps, including the creation of stories and tasks, and utilizing pipelines and ARM templates for code publishing.
• Knowledgeable in infrastructure as code, APIs, security, compliance, and master data management.
• Experienced in optimizing data pipelines, queries, and architectures for both performance and cost efficiency.
• Proven track record in leading architecture and delivery for Azure-based modernization, transformations, or platform build-outs.
• Capable of defining solution architectures that connect business objectives to scalable technical designs and delivery methodologies.
• Experienced in leading hybrid and remote teams across multiple time zones.
• Strong understanding of core concepts, languages, frameworks, and design patterns within a primary domain, applicable at the program scale.
• Familiar with AI-augmented development and integrating AI or machine learning functionalities using APIs, frameworks, or cloud-based AI services.
• Knowledgeable in Agile or Scrum methodologies at scale, including backlog management, work slicing, and dependency management.
• Background in consulting or professional services.
• Familiar with relevant Azure services in the domain, including messaging, compute, data, security, networking, and integration.
• Strong analytical and problem-solving capabilities, with effective written and verbal communication skills.
• Demonstrated enthusiasm for learning new cloud technologies and applying them in practice.
• Able to remain hands-on with architecture and implementation as necessary.
• Applicants must not require employer-sponsored work visas.
• 3Cloud is committed to fostering a diverse, inclusive, and authentic workplace.
• Opportunities for professional growth.
• Mentorship and development opportunities through mentoring, technical interviews, calibration discussions, and development plans.
• Chances to engage in enablement initiatives, knowledge sharing, and continuous improvement.
• Flexible remote work arrangements.
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