Senior Data Architect

As a Senior Data Architect, you will play a pivotal role in shaping clients’ data strategies and leading their data transformation initiatives. You will work closely with business and technical stakeholders to translate organizational objectives intoscalable, well-governed data ecosystems—facilitating workshops, aligningstakeholders, and defining roadmaps

This role balances strategic consulting with hands-on technical leadership. You should be equally comfortable defining data strategies, leading discovery sessions, identifying and shaping large-scale requirements, and breaking them down into executable deliveryplans. A Senior Data Architect at Origin is a trusted advisor who can align business goals with data platform capabilities, guide teams through delivery,and influence decision-making at all levels.

You will primarily work with modern data platforms such as Databricks, Microsoft Fabric, and Snowflake helping clients modernize their analytics ecosystems, establish strong data foundations, and prepare their environments for advanced analytics and AI use cases.

Responsibilities

• Partner with business and technical stakeholders to understand objectives, facilitate strategy and architecture workshops, and develop actionable data roadmaps aligned to business outcomes.
• Architect, design, and help deliver end-to-end data solutions including ingestion, transformation, storage, governance, and analytics layers.
• Serve as a client-facing leader who can guide architectural decisions, communicate trade-offs, and build organizational alignment and confidence in proposed solutions.
• Operate within a global delivery model, providing architectural direction, task  decomposition, and quality oversight while partnering with onshore and offshore delivery teams.
• Balance hands-on contribution (design, implementation, code review, troubleshooting) with mentorship and strategic guidance for other engineers and architects.
• Define and promote best practices for data modeling, lakehouse architecture, performance optimization, security, governance, and compliance.
• Design data platforms that support both traditional analytics and downstream AI and machine-learning workloads.
• Collaborate with application, AI, and analytics teams to ensure data platforms integrate cleanly with broader digital ecosystems.
• Support the evolution of delivery accelerators, reference architectures, and reusable patterns within Origin’s Data Practice.
• Contribute to internal knowledge sharing, mentoring, and the development of junior and mid-level team members.
• Stay current with emerging data platform capabilities and help clients adopt new features thoughtfully and responsibly.

Qualifications

• Strong ability to solve business problems with technology and guide clients through complex transformation initiatives.
• Curious, collaborative, and kind; comfortable working through ambiguity with clients and teams.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
• Significant experience designing and delivering data solutions, with a strong consulting or client-facing background.
• Proven experience leading or significantly contributing to at least one production-grade modern data platform implementation, such as Databricks, Microsoft Fabric, or Snowflake.
• Strong understanding of modern data architecture principles, including lakehouse patterns, data modeling, data governance, and platform scalability.
• Experience working in a global delivery model, including task coordination, technical review, and quality assurance across distributed teams.
• Proficiency in SQL and Python, with experience reviewing and guiding production-quality data engineering code.
• Experience using DevOps tools and practices (e.g., Git, CI/CD, testing, monitoring).
• Experience working in agile delivery models such as Scrum or Kanban.
• Excellent communication, facilitation, and documentation skills, especially in client and executive-facing settings.
• Ability to flex between individual contribution, strategy facilitation, and team leadership depending on engagement needs.

Nice to Have

• Prior consulting experience serving as a strategic or technical lead on client engagements.
• Experience driving or contributing to data platform strategy, roadmap definition, or organizational transformation initiatives.
• Exposure to data governance frameworks, metadata management, or platform security controls.
• Experience collaborating with analytics, AI, or application teams on shared data foundations.
• Familiarity with pre-sales activities such as scoping discussions, workshop development, or proposal support.

Additional Attributes for Success

The Senior Data Architect is a motivated self-starter and an exceptional collaborator. As an early-stage, growing consultancy, Origin values individuals who are comfortable navigating competing priorities and contributing beyondtheir immediate project responsibilities.

This role is ideal for someone excited to help build the Data Practice, shape delivery standards, mentor others, and foster a culture rooted in trust, learning, and shared ownership. We believe an exceptional culture is intentionally built through everyday actions, and the person in this role willbe a positive force in helping Origin continue to stand out through both the work we deliver and how we work together.

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