zencore - Principal Architect, Data
Requirements
• Deep experience designing and delivering enterprise-scale data architectures in complex cloud environments. • Strong hands-on experience with the Google Cloud data ecosystem, particularly BigQuery. • Advanced SQL skills and strong experience with Python. • Strong experience with modern data engineering and orchestration technologies such as dbt, Airflow / Cloud Composer, and related tools. • Experience designing scalable data platforms, pipelines, data models, and integration patterns. • Strong understanding of data governance, security, quality, lineage, and observability. • Ability to translate complex business and data requirements into a clear technical vision, architecture, and delivery roadmap. • Ability to move comfortably between high-level architectural thinking and hands-on technical execution. • Strong software engineering fundamentals and understanding of development best practices. • Experience leading large-scale data modernization and transformation initiatives. • Strong stakeholder management skills, with the ability to influence both engineering teams and senior client stakeholders. • Experience in professional services, consulting, or cloud partner environments is highly desirable. • Strong communication skills and the ability to explain complex technical decisions clearly to both technical and non-technical audiences.
Responsibilities
• Act as the senior technical referent for complex Data engagements, owning key architecture decisions and ensuring successful technical delivery. • Work directly with clients to understand their business requirements, data landscape, and technical challenges, translating them into scalable solutions on Google Cloud. • Define architectures across data platforms, pipelines, modeling, integration, governance, security, and scalability. • Remain a hands-on technical practitioner, supporting engineering teams with complex implementation challenges and unblocking delivery when needed. • Develop estimates around the skills, resources, and timelines required to deliver Zencore engagements and translate these into clear technical proposals. • Partner closely with Data Engineers, Cloud Architects, and AI/ML teams to design solutions that connect Zencore’s Cloud, Data, and AI capabilities. • Help establish and evolve architectural standards, reusable patterns, and engineering best practices across the Data practice. • Mentor and enable engineers and architects, helping raise the technical bar across the organization. • Support solutioning and pre-sales conversations when deep Data expertise is required, helping customers understand both the technical approach and business value of the proposed solution
Benefits
• We Are Trusted Experts: Our teams bring deep, hands-on experience to solve the hardest cloud and AI challenges. • We Value Candor: We share unbiased opinions and aren't afraid of hard truths—our clients view us as true subject matter experts. • We Are the Missing Link: We connect our enterprise clients directly to Google Cloud innovation, moving with agility where larger consultancies stall out. • We Remove Uncertainty: We bring structured playbooks that eliminate risk from complex cloud migrations and AI deployments. • We Show Empathy: We build lasting client trust because we understand the real-world operational complexities of enterprise technology.
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