Senior Data Architect & Technical Lead

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