Associate Principal - Architecture

Vivantify Technology Solutions India Private Limited; Pune District; On-site; INR 3,500,000 - 5,500,000; Full time

Benefits offered by this job

Competitive salary package

Job summary

Vivantify Technology Solutions India Private Limited in Pune seeks 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 spans Enterprise Data Architecture, Cloud Platforms, Data Engineering and Delivery Leadership, with strong stakeholder management and vendor governance to enable AI/ML use cases.

Qualifications

• Extensive enterprise data architecture experience.
• Large-scale cloud/data transformation program leadership.
• Strong stakeholder and executive communication.

Responsibilities

• Design and deliver enterprise-scale Data Lake/Data Warehouse/Lakehouse platforms.
• Define architectures across AWS, Azure and GCP.
• Lead data engineering initiatives (ETL/ELT, Spark, Kafka, distributed processing).
• Own end-to-end program delivery (scope, schedule, cost, quality).
• Lead Agile/SAFe governance, release management, Dev/UAT/Prod environments.

Skills

Data Lakehouse Architecture

Python

AWS/Azure/GCP

Solution Architecture

ETL/ELT pipelines

Apache Spark

Kafka

DevOps

SAFe governance

Data Governance

Vendor management

Stakeholder communication

Team leadership

Tools

Dataiku

Databricks

Power BI

Tableau

Job description

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