Senior Data Architect & Technical Lead
全代科技 (AGT) 是一个专业于构建和管理高性能工程团队的全球技术交付公司，该团队支持一些金融服务，保险技术和企业软件领域最复杂的项目。我们与领先组织直接合作，提供可扩展，可靠和基于结果的技术解决方案.AGT 汇集了来自世界各地的杰出人才并将它们直接嵌入客户环境中。我们的团队在软件工程，质量保障，商业分析，低代码/无代码开发，数据工程以及传统系统现代化方面做出重要贡献。在 AGT,我们相信伟大的交付始于伟大的人。我们通过结构化集成，认证，持续培训和基于透明度，问责制和增长的文化投资我们的团队。无论你是经验丰富的工程师还是新兴专业人士，AGT 为你提供了有意义的工作平台，发展你的职业生涯，并对全球客户产生真正的影响。我们提供的 · 完全远程和混合工作机会 ·竞争性补偿 ·获得认证和连续学习计划 ·直接接触到全球企业客户和项目 · 一个多元化的全球团队中合作，人先文化的文化：我们正在寻找一名高级数据架构师和技术领导者，负责企业规模的数据平台和解决方案的设计和交付。该角色将推动数据体系结构，建模，治理，迁移，现代化和工程实践，同时领导跨功能团队并确保与商业需求一致的可扩展，安全，兼容的解决方案。在保险或金融服务领域提供数据解决方案的经验是高度重视的。关键责任 · 拥有企业数据架构远端到终观通过消费作为设计审查的技术权威，辅导工程团队，推现代化的工具。· 设计和维护数据模型，从概念到物理，以及建筑现代平台 （数据湖，仓库，湖馆）,拥有可信模型，参考数据和企业元数据。·监督数据分析，配置资料和生命周期管理质量，保留，后裔，审计性并定义企业数据管理标准。·建立涵盖质量，MDM,安全和隐私的数据治理框架；
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All Gen Tech (AGT) is a global technology delivery firm specializing in building and managing high-performing engineering teams that power some of the most complex projects in financial services, insurance technology, and enterprise software. We partner directly with leading organizations to deliver scalable, reliable, and results-driven technology solutions.
AGT brings together exceptional talent from across the globe and embeds them directly within client environments. Our teams contribute to mission-critical work across software engineering, quality assurance, business analysis, low-code/no-code development, data engineering, and legacy system modernization.
At AGT, we believe great delivery starts with great people. We invest in our teams through structured onboarding, certifications, ongoing training, and a culture rooted in transparency, accountability, and growth. Whether you are a seasoned engineer or an emerging professional, AGT gives you the platform to do meaningful work, grow your career, and make a real impact for global clients.
What We Offer
- Fully remote and hybrid work opportunities
- Competitive compensation
- Access to certifications and continuous learning programs
- Direct exposure to global enterprise clients and projects
- A collaborative, people-first culture across a diverse global team
About The Role: We are seeking a Senior Data Architect & Technical Lead to lead the design and delivery of enterprise-scale data platforms and solutions. This role will drive data architecture, modeling, governance, migration, modernization, and engineering practices while leading cross-functional teams and ensuring scalable, secure, compliant solutions aligned with business needs. Experience delivering data solutions in insurance or financial services is highly valued.
Key Responsibilities
- Own the enterprise data architecture vision end-to-end — ingestion through consumption — acting as technical authority for design reviews, mentoring engineering teams, and recommending tools for platform modernization.
- Design and maintain data models from conceptual to physical, and architect modern platforms (data lakes, warehouses, lakehouse), owning canonical models, reference data, and enterprise metadata.
- Oversee data analysis, profiling, and lifecycle management — quality, retention, lineage, auditability — and define enterprise data management standards.
- Build data governance frameworks covering quality, MDM, security, and privacy; partner with risk and compliance teams on regulatory adherence (BCBS 239, GDPR, PCI); implement cataloging and lineage.
- Lead large-scale migration from legacy systems to modern cloud platforms; drive ETL-to-ELT and lakehouse modernization; establish CI/CD and orchestration for data pipelines.
- Deliver data products for customer 360, AML/KYC, credit scoring, and regulatory reporting, translating business requirements from SMEs into solutions aligned with financial services standards.
- Architect distributed and real-time streaming pipelines, design secure and cost-efficient cloud architectures, and enable advanced analytics and ML workflows.
What We're Looking For?
Technical Experience
- 10+ years in Data Architecture, with 8+ years specifically in Data Engineering and Architecture roles.
- Proven senior or technical lead experience driving enterprise-scale data platforms.
- Deep expertise in data architecture, design, and modelling (3NF, Dimensional, Data Vault), ETL/ELT frameworks, distributed processing, and real-time/event-driven architectures.
- Strong hands-on programming with Python and distributed processing frameworks.
- Experience with streaming technologies (Kafka or equivalent).
- Hands-on experience with cloud-native data services on one or more major platforms (AWS, Azure, GCP).
- Strong exposure to data governance, metadata management, data quality, and lineage solutions.
Domain Expertise
- Strong understanding of insurance / financial services data across operational and analytical domains.
- Familiarity with regulatory frameworks impacting data architecture and management.
Leadership & Collaboration
- Proven ability to lead and mentor cross-functional engineering and architecture teams.
- Strong stakeholder management, able to influence technical and non-technical audiences.
- Excellent communication, documentation, and decision-making capabilities.
Preferred Qualifications
- Cloud architecture or data analytics certifications from leading cloud providers.
- Experience supporting machine learning data pipelines or MLOps initiatives.
- Familiarity with Data Mesh or domain-driven data product architectures.
What We Offer:
- Join a talented international team in a friendly, creative, and dynamic environment that fosters collaboration and support.
- Opportunities for professional growth and development.
- Enjoy the flexibility of working 100% remotely from anywhere in the world while contributing to cutting-edge projects.
- Competitive compensation: Receive a salary package commensurate with your experience and skill set.
- All training and probation periods offered at AGT are fully paid; we value all candidates' time.
Originally posted on Himalayas