pune maharashtra architectural visualization Jobs – 47 Open Jobs Today

Cloud Architect - Snowflake
InfoCepts —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
IMU IX Strategy Senior Manager
Accenture —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
FBS Sr Data Engineer
Capgemini —Pune, Maharashtra
- Hybrid work
- AWS
- APIs
- Agile
- Paid time off
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Sr Data Architect
HoonarTek —Pune, Maharashtra
- Full-time
- Remote
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IMU IX Strategy Senior Manager
Accenture —Pune, Maharashtra
You will be responsible for designing end-to-end architectures that integrate client’s Operational Technology (OT) with Information Technology (IT) landscape ,…

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Cloud Architect - Snowflake

InfoCepts -
Pune, Maharashtra

Apply Now

Job details

Full-time

Qualifications

Performance tuning
Power BI
Azure
Cloud architecture
Computer Science
Big data
Spark
R
Encryption
Tableau
Master's degree
SQL
RBAC
AWS
Analysis skills
Bachelor's degree
ETL
Agile
Data science
Data visualization
Business requirements
AI
Leadership
Communication skills
Data warehouse
Python
Data Science
Analytics
Hadoop
Information Technology

Full job description

Position: Cloud Architect - Snowflake

Location: Pune/Nagpur

Type of Employment: Full-time

Purpose of the Position:

The Snowflake Architect will be responsible for leading the design, implementation, and optimization of enterprise-scale data solutions on Snowflake. This role is responsible for building a scalable, secure, and high-performance data architecture that aligns with organizational data and analytics objectives.

The architect will collaborate closely with business stakeholders, analytics teams, and engineering functions to enable high-quality, trusted data for reporting, advanced analytics, and AI-driven use cases. Additionally, the role will drive best practices in data modelling, performance tuning, cost optimization, and data governance, while providing architectural guidance and ensuring adherence to enterprise standards.

Key Result Areas (KRAs):

Data Architecture Design

Design and evolve scalable, secure, and high-performance data architectures on Snowflake aligned with enterprise data strategy and business objectives.
Establish best practices for data modelling (dimensional, data vault, etc.), ingestion frameworks, and storage optimization.

Data Quality & Governance

Define and enforce data quality frameworks, governance policies, and standards across data platforms.
Ensure data integrity, consistency, and compliance through robust validation, lineage, and monitoring mechanisms.
Implement security best practices including RBAC, data masking, encryption, and row-level access controls aligned with regulatory standards (GDPR, HIPAA, SOC2).

Performance & Cost Optimization

Drive performance tuning of Snowflake workloads including query optimization, warehouse sizing, clustering, and caching strategies.
Optimize ETL/ELT pipelines for efficiency, scalability, and cost management.
Establish proactive monitoring and continuous improvement mechanisms for platform performance.

AI/ML & Advanced Analytics Enablement

Leverage Snowflake Cortex capabilities to enable AI-driven use cases within the data ecosystem.
Design and implement Conversational BI solutions (e.g., Cortex Analyst) to enable natural language access to structured data.
Build and operationalize Retrieval-Augmented Generation (RAG) pipelines to securely integrate enterprise data with LLMs.
Ensure AI solutions are governed, explainable, and aligned with enterprise data security principles.

Collaboration & Technical Leadership

Partner with cross-functional stakeholders including data engineering, analytics, and business teams to translate requirements into scalable solutions.
Provide architectural guidance, conduct design reviews, and mentor engineering teams on best practices.

Innovation & Continuous Improvement

Stay current with emerging trends in cloud data platforms, AI/ML, and Snowflake advancements.
Identify and implement innovative approaches to improve data processing, analytics capabilities, and time-to-insight.
Drive adoption of modern data practices including automation, data observability, and AI-enabled analytics.

Essential Skills:

Snowflake Architecture Expertise: Deep expertise in Snowflake architecture, including storage, compute, and services layers. Proven ability to design scalable data models, optimize workloads, and implement best practices for performance, cost, and security.
Advanced SQL & Query Optimization: Strong proficiency in SQL for complex transformations, performance tuning, and workload optimization, including query profiling and efficient data access strategies.
Data Warehousing & Modelling: Solid understanding of modern data warehousing principles and modelling techniques (Dimensional, Data Vault, etc.), with the ability to design enterprise-grade data models supporting analytics and reporting.
ETL/ELT & Data Pipeline Design: Hands-on experience in designing and optimizing ETL/ELT pipelines using modern data stack tools, with a strong focus on scalability, reliability, and orchestration.
Cloud Data Ecosystem:Experience with cloud platforms such as AWS, Azure, or GCP, including integration with cloud-native data services, storage, and compute frameworks.
Data Governance & Security: Strong understanding of data governance frameworks and Snowflake security capabilities, including RBAC, data masking, encryption, row-level security, and compliance with standards such as GDPR, HIPAA, and SOC2.
Performance & Cost Optimization: Ability to optimize Snowflake environments through warehouse sizing, clustering, partitioning strategies, caching, and workload management to balance performance and cost efficiency.
AI/ML & Snowflake Cortex Capabilities: Working knowledge of Snowflake Cortex and AI-driven analytics use cases, including: Enabling Conversational BI using natural language querying Designing RAG-based architectures to integrate enterprise data with LLMs. Understanding of AI governance, data grounding, and secure model usage
Technical Leadership & Stakeholder Management: Ability to translate business requirements into technical solutions, lead architectural discussions, mentor teams, and drive alignment across engineering, analytics, and business stakeholders.

Desirable Skills:

Python or R: Knowledge of Python or R for data manipulation and analysis.
Data Visualization: Experience with data visualization tools (e.g., Tableau, Power BI).
Big Data Technologies: Familiarity with big data technologies (e.g., Hadoop, Spark).
Data Governance: Understanding of data governance and compliance standards.
Agile Methodologies: Experience working in Agile development environments.

Qualifications:

Bachelor's or master’s degree in computer science, Information Technology, Data Science, or a related field.
9+ years of experience
Proven track record of designing and implementing data solutions using Snowflake.

Qualities:

Analytical Mindset: Strong analytical and problem-solving skills.
Collaboration: Excellent communication and teamwork abilities.
Detail-Oriented: High attention to detail and commitment to data quality.
Adaptability: Ability to adapt to changing business needs and technologies.
Leadership: Demonstrated leadership skills and the ability to mentor junior team members.

Location

Pune, Maharashtra, India

Years Of Exp

9 to 11 years

Apply Now

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