Technical Architect – SnowFlake Dataware Housing

YASH Technologies

. Design and implement Snowflake-based data warehouse and Lakehouse solutions .

Posted 9/29/2026full-timeHyderabad • IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in designing and implementing Snowflake-based data warehouse and Lakehouse solutions, along with strong expertise in AWS cloud data platforms and data modernization strategies. Proven ability to lead architecture governance, optimize data workflows, and leverage automation technologies for enhanced performance.

Highest-signal resume keywords

Snowflake Data Warehouse DesignAWS Cloud Data PlatformsData Modernization StrategiesETL Tools (Informatica, Datastage, Talend)CI/CD and DevOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Snowflake Data ModelingSQL/PL-SQLPython/PySparkData Ingestion and TransformationWorkload OptimizationCost Management StrategiesArchitecture GovernanceMigration StrategiesAutomation TechnologiesData Consumption Patterns

Soft Skills

Excellent CommunicationStakeholder Management

Tools & Technologies

AI-Assisted ToolsAutomation TechnologiesETL Tools

Certifications & Qualifications

AWS Solutions Architect – ProfessionalTechnical Certifications

Industry Keywords

Manufacturing Domain Experience

Tech Stack

Tools & technologies

AWSCloudETLInformaticaPySparkPythonSQL

About the role

Key responsibilities & impact

Design and implement Snowflake-based data warehouse and Lakehouse solutions
Lead architecture and design for enterprise-wide data modernization programs and AWS cloud data platforms
Define target-state architectures, migration strategies, and modernization roadmaps for legacy data warehouses and ETL ecosystems
Define Snowflake data modeling, clustering, partitioning, workload optimization, and cost management strategies
Design scalable data ingestion, transformation, and consumption patterns for structured and unstructured data
Provide technical leadership, solution reviews, and architecture governance
Collaborate with business stakeholders, product teams, data engineers, analysts, and enterprise architects
Enable CI/CD, DevOps, and automation practices for data engineering and analytics workflows
Leverage AI-assisted tools and modern automation technologies to accelerate architecture design and optimize cloud and data platform performance

Requirements

What you’ll need

10–14 years of experience
10+ years of design and implementation experience with Snowflake-based data warehouse and Lakehouse solutions
Experience leading architecture and design of enterprise-wide data modernization programs and cloud data platforms on AWS
Experience defining target-state architectures, migration strategies, and modernization roadmaps for legacy data warehouses and ETL ecosystems
Knowledge of Snowflake data modeling, clustering, partitioning, workload optimization, and cost management
Experience designing scalable data ingestion, transformation, and consumption patterns for structured and unstructured data
Experience providing technical leadership, solution reviews, and architecture governance
Strong knowledge of ETL tools such as Informatica, Datastage, or Talend
Strong knowledge of SQL/PL-SQL
Knowledge of Python/PySpark is preferable
Manufacturing domain experience is good to have
Experience with CI/CD, DevOps, and automation practices for data engineering and analytics workflows
Experience leveraging AI-assisted tools and modern automation technologies
Excellent communication and stakeholder management
AWS Solutions Architect – Professional certification
AWS certification or any technical certification

Benefits

Comp & perks

Flexible work arrangements
Inclusive team environment
Career-oriented skilling models
Continuous learning, unlearning, and relearning opportunities
Agile self-determination, trust, transparency, and open collaboration
Support needed for realization of business goals
Stable employment
Great atmosphere and ethical corporate culture