pune maharashtra principal architect Jobs – 127 Open Jobs Today

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Senior Architect - Engineering

Principal Global Services -
Pune, Maharashtra

Apply Now

Job details

Full-time

Qualifications

Data modeling
Cloud architecture
SQL
AWS
Bachelor's degree
ETL
Agile
Metadata
Business requirements
AI
Communication skills
Analytics

Full job description

Responsibilities:

Are you a leader in data and analytics architecture? Do you thrive in evolving environments and have passion for developing resilient data solutions? Join Principal Financial Group as a Senior Architect and help us develop impactful changes and strategic growth in our data and analytics framework!

Responsibilities

Analytics & Data Architecture

Define and uphold the enterprise data and analytics structural design blueprints, vision, principles, and target states.
Ensure data ecosystem alignment with enterprise architecture strategy, business capabilities, and operating models.
Partner to handle, support, and improve the condition of data insights and reporting capabilities for the enterprise.
Define and sustain the enterprise analytics architecture across modern data platforms including:
- Analytical data models and marts

Semantic and metrics layers

Cloud data lake and warehouse solutions
Build analytics solutions optimized for:
BI reporting

Self-service analytics

Advanced analytics and AI consumption

Ensure analytics architectures scale with growing data volumes and concurrent users.
Be responsible for the analytics architecture roadmap (target state, phased migration, and decommission plan) aligned to business priorities.
Define reference architectures, standards, and guardrails; serve as build authority for analytics modeling and consumption patterns.

Data Modeling & Semantic Layer

Manage data models dedicated to analysis and multi-dimensional structures for enterprise reporting.
Build and govern:
- Conformed dimensions

Business metrics and benchmarks

Semantic layers on top of Databricks / Snowflake

Enable tool agnostic analytics consumption across multiple BI platforms.
Ensure consistency of definitions across dashboards, reports, and AI use cases.

Data Products & Marketplace Enablement

Drive a data-as-a-product approach for analytical datasets, including product ownership, lifecycle management, and adoption.
Define analytics data products hosted on Databricks / Snowflake with clear onboarding, versioning, and support processes, including:
- Clear schemas and contracts

Quality thresholds and SLAs

Detailed usage patterns

Enable discoverability, trust, and reuse through catalog and marketplace integration.

Modern Data Platform Architecture (Snowflake)

Architect analytical solutions on Snowflake including:
- Developing data schemas for analytical workloads

Performance optimization and cost efficiency

Workload separation and concurrency management

Define guidelines for:

Delta Lake / Iceberg / analytical table formats

Warehouse and cluster sizing strategies

Ingestion and transformation patterns

Query optimization and caching techniques

Guide teams on:

Snowflake virtual warehouses, clustering, and data sharing

Build analytics architectures that support BI, ML, AI/NLQ and data science workloads on the same platform.

Governance, Quality & Security

Implement analytics-focused governance on cloud data platforms:

Row-level and column-level security

Dynamic data masking

Secure data sharing mechanisms

Define and monitor analytics data quality rules.
Ensure compliance with enterprise security, privacy, and regulatory standards.
Partner with data governance and platform security teams.

Collaboration & Leadership

Collaborate closely with:
- Data engineers

Analytics and BI teams

Data scientists

Enterprise and solution architects

Provide architectural leadership and build governance.
Mentor teams on analytics modeling, platform usage, and established guidelines.

Required Skills & Experience

Modern Data Stack (Mandatory)

Hands-on architectural experience with:
- Databricks and/or Snowflake in enterprise environments.
Solid knowledge of:
- Lakehouse vs warehouse architecture

Information catalogs on Snowflake and/or Databricks

Compute–storage separation

Optimization of cost and performance in analytics workloads

Experience enabling analytics use cases at scale on cloud platforms.

Core Analytics & Data Skills

Advanced skills in analytical and dimensional data modeling.
Proficient in SQL and optimizing queries.
Hands on experience of various modeling approaches – logical, physical and dimensional.
Experience building semantic layers and governed metrics.
Understanding of ETL, ELT patterns and analytics pipeline build.
Agile delivery method, process and toolings.

Cloud & Architecture

Experience on an AWS cloud platform (or equivalent).
Familiarity with:
- Cloud native analytics services

Metadata management and data catalogs

Data observability and quality tooling.

Qualifications:

Over all 16+ years of experience in which 5+ years of experince in Data and analytics architecture/Engineering/Enterprise roles
3+ years of experience in designing modern cloud data platforms (Databricks/Snowflake or equivalent)
Qualifications

Education: Bachelor’s degree or equivalent experience (any stream).

Business & Analytical Competence

Ability to translate business requirements into scalable analytics builds.
Solid grasp of:
Important metrics

Management and operational reporting

Superb communication, presentation, and collaborator engagement skills.

Preferred Qualifications

Industry experience in BFSI preferable.
Architecture or cloud certifications (nice to have).

Apply Now

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