Senior Manager

Axtria - Ingenious Insights; Pune District; Hybrid; INR 3,500,000 - 6,000,000; Full time

Job summary

Axtria - Ingenious Insights is seeking an experienced Snowflake Architect to lead design, architecture and implementation of scalable cloud data platforms. Flexible/hybrid/remote location with a focus on Snowflake, AWS and Azure.

Ideal candidate has 12+ years in data engineering and architecture, with 5+ years hands-on Snowflake experience and strong leadership for multi-stakeholder programs.

Qualifications

• 12+ years of data engineering and architecture experience.
• 5+ years hands-on Snowflake architecture experience.
• Proven experience designing enterprise-scale cloud data solutions.
• Extensive experience with large-scale data warehouse and analytics platforms.

Responsibilities

• Architect enterprise-scale Snowflake data platforms.
• Define modern data architectures: data lakes, data warehouses, data marts, lakehouse.
• Develop scalable data models for analytics, BI, AI, ML use cases.
• Create architecture roadmaps aligned with business and technology strategies.
• Architect Snowflake solutions on AWS and/or Azure; design data ingestion and orchestration frameworks.
• Lead migration of legacy warehouses to Snowflake and optimize cloud adoption.

Skills

Snowflake Architecture

Snowflake Data Cloud

Snowpark

Streams & Tasks

Dynamic Tables

Materialized Views

Data Sharing

Secure Data Sharing

Cloning & Time Travel

Data Marketplace

Performance Optimization

Cost Governance

Education

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field

Tools

Snowflake

AWS

Azure

SQL

Python

PySpark

Airflow

Job description

Experience

5+ Years in Snowflake Architecture and Implementation

Job Description

Position Title: Snowflake Architect

Location: Flexible / Hybrid / Remote

Experience

12+ Years of Overall Experience with 5+ Years in Snowflake Architecture and Implementation

We are seeking an experienced Snowflake Architect to lead the design, architecture, and implementation of scalable cloud-based data platforms. The ideal candidate will possess extensive expertise in Snowflake, AWS/Azure cloud services, modern data warehousing, data lake architectures, and enterprise analytics ecosystems.

This role will be responsible for defining data strategies, designing end-to-end data solutions, optimizing platform performance, ensuring data governance, and driving cloud data modernization initiatives across the organization.

Key Responsibilities

Architecture & Solution Design

• Design and implement enterprise-scale Snowflake data platforms.
• Define and implement modern data architectures encompassing:
• Data Lakes
• Data Warehouses
• Data Marts
• Lakehouse architectures
• Develop scalable and secure data models supporting analytics, BI, AI, and ML use cases.
• Create architecture roadmaps aligned with business and technology strategies.

Cloud Data Engineering

• Architect Snowflake solutions on AWS and/or Azure.
• Design cloud-native data ingestion, transformation, and orchestration frameworks.
• Implement ELT/ETL pipelines using modern cloud technologies.
• Optimize data movement across on-premise and cloud environments.

Data Platform Modernization

• Lead migration of legacy data warehouses (Teradata, Oracle, SQL Server, Netezza, Redshift, Synapse, etc.) to Snowflake.
• Define best practices for cloud adoption, scalability, and cost optimization.
• Drive enterprise data modernization programs.

Performance & Optimization

• Optimize Snowflake compute and storage utilization.
• Implement clustering, partitioning, caching, workload management, and query performance tuning.
• Establish monitoring, capacity planning, and platform observability.

Security & Governance

• Design enterprise security models.
• Implement RBAC, data masking, row-level security, and compliance controls.
• Ensure adherence to data governance, privacy, and regulatory requirements.
• Support audit and risk management initiatives.

Stakeholder Leadership

• Collaborate with business, analytics, engineering, and executive stakeholders.
• Lead architecture reviews and governance discussions.
• Mentor data engineers, developers, and technical teams.
• Act as the Snowflake Center of Excellence (CoE) lead and subject matter expert.

Required Qualifications

Education

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.

Experience

• 12+ years of overall data engineering and architecture experience.
• 5+ years of hands‑on Snowflake architecture experience.
• Proven experience designing enterprise-scale cloud data solutions.
• Extensive experience with large-scale data warehouse and analytics platforms.

Technical Skills

Snowflake Expertise

• Snowflake Architecture
• Snowflake Data Cloud
• Snowpark
• Streams & Tasks
• Dynamic Tables
• Materialized Views
• Data Sharing
• Secure Data Sharing
• Cloning & Time Travel
• Data Marketplace
• Performance Optimization
• Cost Governance

Cloud Platforms

Strong Expertise In At Least One

AWS

• S3
• Glue
• Lambda
• Athena
• Redshift
• ECS/EKS
• IAM
• CloudWatch
• Kinesis

Azure

• Azure Data Factory (ADF)
• Azure Databricks
• Azure Synapse
• ADLS Gen2
• Azure Functions
• Microsoft Fabric (Preferred)
• Azure Monitor
• Azure Key Vault

Data Engineering

• ETL/ELT Architecture
• Data Modeling
• Dimensional Modeling
• Kimball Methodology
• Data Vault
• Master Data Management (MDM)
• Metadata Management
• Data Quality Frameworks

Programming

• SQL (Expert)
• Python
• PySpark
• Shell Scripting

Preferred Certifications

Snowflake

• SnowPro Advanced ArchitectSnowPro Core Certification

Cloud Certifications

• AWS Certified Solutions Architect
• AWS Data Analytics Specialty
• Microsoft Azure Solutions Architect Expert
• Azure Data Engineer Associate

Leadership Expectations

• Ability to lead multi-million-dollar data transformation programs.
• Experience working with executive stakeholders and enterprise architecture boards.
• Strong consulting, solutioning, and customer-facing skills.
• Ability to mentor technical teams and establish best practices.
• Experience managing globally distributed teams.

Preferred Industry Experience

Experience in highly regulated industries such as:

• Pharmaceuticals & Life Sciences
• Healthcare
• Financial Services
• Insurance
• Retail & Consumer Goods

Success Measures

The Snowflake Architect Will Be Expected To:

• Build scalable enterprise data architectures.
• Reduce data processing costs through optimized Snowflake design.
• Accelerate analytics and reporting capabilities.
• Enable self-service analytics and AI/ML readiness
• Improve data quality, governance, and platform reliability.
• Drive successful cloud and data warehouse modernization initiatives.

Ideal Candidate Profile

A seasoned Data Architect with 12-18 years of experience who has led multiple enterprise cloud transformation programs, designed large-scale Snowflake ecosystems on AWS/Azure, and possesses deep expertise in Data Warehouses, Data Lakes, Data Marts, governance, performance optimization, and stakeholder management. This individual should be capable of operating at both executive and hands‑on technical levels.