Associate Principal - Architecture

Location: Pune

Experience: 11–15 Years

About The Role We are seeking a seasoned Senior Solution Architect / Technical Program Delivery Lead to drive end-to-end architecture, program delivery, and execution for large-scale data transformation initiatives. The role combines Enterprise Data Architecture, Cloud Platforms, Data Engineering, and Program Delivery Leadership , with strong focus on stakeholder management, vendor governance, and technical execution.

Job Description The role involves designing and delivering enterprise-scale data platforms including Data Lakes, Data Warehouses, and Lakehouse architectures across AWS, Azure, and GCP . The candidate will define scalable, high-performance solution architectures aligned with business objectives and enable advanced analytics and AI/ML use cases.

The position requires strong expertise in data engineering pipelines using ETL/ELT, Spark, Kafka, and distributed data processing , along with experience in DevOps, release management, environment strategy, and engineering optimization. The architect will also establish data strategies, governance frameworks, and compliance standards.

As a technical program leader, the candidate will own program scope, schedule, cost, quality, and delivery while managing Agile/SAFe governance, multiple vendors, and stakeholder groups. The role includes executive-level communication, risk management, team leadership, and coordination across complex transformation programs.

Key Responsibilities

• Design and implement enterprise-scale Data Lake, Data Warehouse, and Lakehouse platforms.
• Define scalable solution architectures across AWS, Azure, and GCP.
• Lead data engineering initiatives involving ETL/ELT, Spark, Kafka, and distributed processing.
• Own end-to-end program delivery across scope, schedule, cost, quality, and execution.
• Lead Agile/SAFe planning, governance, release management, and Dev/UAT/Prod environment strategy.
• Drive DevOps optimization, performance improvement, and engineering excellence.
• Establish enterprise data strategy, governance frameworks, and compliance standards.
• Manage CXO-level stakeholders, vendors, multipartner ecosystems, risks, and technical teams.

Required Skills

• Data Lakehouse Architecture
• Python
• Enterprise Data Architecture
• Data Lakes and Data Warehouses
• AWS, Azure, and GCP
• Solution Architecture
• ETL/ELT pipelines
• Apache Spark and Kafka
• Distributed data processing
• AI/ML enablement
• Program and delivery management
• Agile / SAFe governance
• DevOps and release management
• Data Governance
• Strong stakeholder and executive communication
• Vendor and multipartner ecosystem management
• Risk management and technical decision-making
• Team leadership and management

Preferred / Good To Have

• Multicloud enterprise transformation and modernization
• Data Governance tools covering cataloguing, lineage, and metadata management
• Security and compliance frameworks such as GDPR, HIPAA, and SOC 2
• Power BI or Tableau
• AI/ML platforms such as Dataiku and Databricks
• Insurance or BFSI domain experience

Mandatory Skills

• Data Lakehouse Architecture
• Python

Candidate Profile

The ideal candidate will have extensive experience in enterprise data architecture and large-scale cloud/data transformation programs , combined with strong technical program delivery capabilities. The candidate should be comfortable leading complex multistream initiatives, managing vendors and executive stakeholders, and aligning business objectives with technical execution.

Benefits Package

• Competitive salary and benefits package
• Opportunities for professional growth and development
• A collaborative and inclusive work environment
• The opportunity to work on exciting and challenging projects with leading clients