Senior Architect - Engineering

Principal Financial Group; Pune District; On-site; INR 4,200,000 - 6,400,000; Full time

Job summary

Principal Financial Group in Pune, India seeks a Senior Architect for Engineering Data Science & Analytics. You will define enterprise-wide data/analytics architectures, lead multi-disciplinary teams, mentor engineers, and drive cloud-based analytics initiatives.

You will influence governance, standards, and roadmaps across programs to deliver scalable data products. The role requires strong leadership, deep architecture experience, and a passion for innovation in data platforms and ML-driven

Qualifications

• 13-15 years of overall experience in technology with significant experience in Solution Architecture, Data Architecture, and Analytics platforms.
• Proven experience designing and implementing enterprise-scale Data & Analytics solutions.
• Experience leading multi-functional teams and large-scale transformation initiatives.
• Strong understanding of Agile, SAFe, DevOps, and modern software delivery methodologies.

Responsibilities

• Define end-to-end solution architecture for Data, Analytics, AI/ML, and Data Platform initiatives.
• Translate business and technical requirements into scalable, secure architectures.
• Develop architecture blueprints, reference architectures, roadmaps, and design artifacts.
• Lead architecture reviews, governance, evaluations, and PoCs.
• Design data platforms, data lakes, data warehouses, and cloud analytics solutions.
• Establish data models, integration patterns, governance, and data quality frameworks.
• Provide architectural leadership for Data Science, ML, and MLOps platforms.
• Partner with stakeholders to deliver advanced analytics solutions and highlight technology roadmaps.
• Drive adoption of Snowflake, AWS, and modern data products across programs.
• Mentor architects and teams, promoting standards and best practices.

Skills

Solution Architecture

Enterprise Architecture

Data Architecture

Analytics Architecture

Snowflake Architecture

AWS Cloud Services

Data Modeling

Data Integration

Data Governance

MLOps / AI/ML

BI Tools

Education

Bachelor's degree in CS/IT/Engineering/Data Science

Tools

Snowflake

Power BI

Tableau

Looker

AWS

Job description

Job Summary

Senior Architect - Engineering Data Science & Analytics (T7) is responsible for defining and governing enterprise-wide Data, Analytics, and AI/ML solution architectures aligned with business and technology strategies. This role drives the architecture vision for data platforms, analytics products, and cloud-based solutions while ensuring scalability, security, reliability, and performance. The incumbent partners with business collaborators, data scientists, engineering teams, product owners, and enterprise architects to deliver innovative, data-driven solutions by bringing to bear modern cloud and analytics technologies. The role also provides technical leadership, mentors teams, and drives architecture standard methodologies across the organization.

Responsibilities

• Have solid working understanding on Data governance concepts including data quality, data ownership/stewardship, data security and data compliance
• Architecture involvement in complete data life cycle
• Define and govern end-to-end solution architecture for Data, Analytics, AI/ML, and Data Platform initiatives.
• Translate business and technical requirements into scalable, secure, and high-performance architecture solutions.
• Develop architecture blueprints, reference architectures, roadmaps, and solution design artifacts.
• Lead architecture reviews, design governance, technology evaluations, and PoCs.
• Design enterprise data platforms, data lakes, data warehouses, and cloud-based analytics solutions.
• Establish data architecture standards, data models, integration patterns, governance, and data quality frameworks.
• Provide architectural leadership for Data Science, Machine Learning, and MLOps platforms.
• Partner with Data Scientists, Engineering teams, and business collaborators to deliver advanced analytics and technology-based solutions.
• Drive adoption of Snowflake, AWS, modern data products, and analytics technologies.
• Mentor architects and technical teams, promoting architecture guidelines and technical perfection.
• Identify architectural risks, dependencies, and mitigation strategies to ensure successful delivery.
• Collaborate with business, product, and delivery teams to define technology roadmaps and transformation initiatives.
• Present architecture recommendations to senior leadership and governance forums.
• Ensure alignment with SDLC, security, compliance, and architecture governance standards.
• Support estimation, planning, technical decision-making, and continuous improvement initiatives.

Qualifications

• Bachelor s degree or equivalent experience in computer science, Information Technology, Engineering, Data Science, or related field.
• 13-15 years of overall experience in technology with significant experience in Solution Architecture, Data Architecture, and Analytics platforms.
• Proven experience designing and implementing enterprise-scale Data & Analytics solutions.
• Experience leading multi-functional teams and large-scale transformation initiatives.
• Strong understanding of Agile, SAFe, DevOps, and modern software delivery methodologies.

Must Have Skills

• Solution Architecture / Enterprise Architecture
• Data Architecture & Analytics Architecture
• Data Science & Machine Learning Platforms
• Snowflake Architecture and Data Cloud
• AWS Cloud Services & Cloud ArchitectureData Warehousing, Data Lakes, and Lakehouse Architectures
• Data Modeling, Data Integration, and Data Governance
• MLOps and AI/ML Solution Design
• Business Intelligence Tools (Power BI, Tableau, Looker or equivalent)

Other

• Ability to influence architecture decisions across multiple programs and teams.
• Strong customer-centric approach with excellent communication and presentation skills.
• Experience in conducting architecture assessments, POCs, and reference implementations.
• Ability to balance business, technology, security scalability, and operational considerations.
• Awareness of emerging trends in Data, Analytics, AI/ML, Cloud, and Modern Data Platforms.
• Dedicated to investigation with a passion for innovation and continuous learning.
• Strong decision-making, conflict resolution, and collaborator engagement capabilities.
• Experience working in global, matrixed, and enterprise environments preferred.