Responsibilities

Role Description:

The 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.

Key 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

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.
- Robust 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 Architecture
- Data 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)
- Architecture Governance and Design Reviews
- Partner Management and Executive Communication
- Technical Leadership, Mentoring, and Team Development
- Strong analytical, problem-solving, and solutioning skills

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.

📌 Senior Architect - Engineering (Pune)
🏢 Principal Financial Group
📍 Pune