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Snowflake Architect

Techila Global Services -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

CI/CD
Performance tuning
Data modelling
Azure
Cloud architecture
HDFS
Big data
Salesforce
Spark
Google Cloud Platform
Apache Hive
AWS
Analysis skills
Continuous integration
Mentoring
Communication skills
Data warehouse
Python
Hadoop

Full job description

Hybrid Bangalore 6–12 yrs Apply by Sep 19, 2026

Snowflake Architect

Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.

Experience

6–12 yrs

Employment Type

Full-time

Openings

1 position

Apply By

Sep 19, 2026

Required Skills

Snowflake

Job Description

Experience: 8+ Years Location: Chennai Work Mode: Work From Office (5 Days a Week) Shift: General Day Shift

Job Summary We are seeking an experienced Snowflake Architect to design, build, and oversee scalable, cloud-native data platforms leveraging Snowflake technologies. The ideal candidate will have strong expertise in Snowflake, Snowpark, Python, PySpark, and Big Data technologies, with proven experience in modernizing enterprise data ecosystems and migrating legacy Hadoop-based environments to Snowflake. The role requires hands-on architectural leadership, data warehouse design expertise, performance optimization capabilities, and the ability to guide technical teams in implementing enterprise-grade data solutions.

Key Responsibilities • Design and implement scalable, secure, and high-performance data architectures using Snowflake. • Define and establish enterprise data warehouse blueprints, data models, and best practices. • Lead migration initiatives from Hadoop/Hive-based ecosystems to Snowflake cloud data platforms. • Architect and develop data transformation frameworks using Snowpark, Python, and PySpark. • Optimize Snowflake environments for performance, scalability, governance, and cost efficiency. • Design data ingestion, processing, and consumption frameworks for large-scale datasets. • Collaborate with business stakeholders, data engineers, and product teams to understand business requirements and translate them into technical solutions. • Establish standards for data modeling, ETL/ELT processes, security, and metadata management. • Conduct architecture reviews, code reviews, and technical mentoring for engineering teams. • Support cloud data modernization and digital transformation initiatives. Required Skills Snowflake • Strong hands-on experience with Snowflake Architecture and Administration • Data Warehouse Design and Data Modeling • Snowflake Security, Access Control, and Governance • Performance Tuning and Query Optimization • Virtual Warehouses, Clustering, Resource Monitoring Programming & Data Engineering • Strong proficiency in Python • Hands-on experience with PySpark • Experience with Snowpark for advanced data processing and transformation • Development of ETL/ELT pipelines and data integration frameworks Big Data Technologies • Hadoop Ecosystem (HDFS, Hive, Spark) • Data Migration and Modernization Projects • Large-scale Data Processing and Optimization Cloud Platforms • Experience with AWS, Azure, or Google Cloud Platform • Cloud-native Data Architecture Design Preferred Qualifications • Experience leading enterprise-scale Snowflake implementations. • Hands-on experience in Hadoop-to-Snowflake migration projects. • Knowledge of Data Lake, Lakehouse, and Modern Data Platform architectures. • Exposure to DevOps, CI/CD, Infrastructure as Code, and DataOps practices. • Snowflake certifications will be an added advantage. Desired Candidate Profile • 8+ years of experience in Data Engineering and Data Architecture. • Strong analytical and problem-solving skills. • Ability to drive technical architecture discussions and influence stakeholders. • Experience mentoring engineering teams and defining technical roadmaps. • Excellent communication and stakeholder management capabilities. Key Evaluation Criteria Candidates should be able to demonstrate: • End-to-end Snowflake Architecture experience • Hadoop to Snowflake migration expertise • Strong Snowpark, Python, and PySpark knowledge • Data Warehouse and Data Modeling experience • Performance tuning and optimization capabilities • Cloud platform expertise (AWS/Azure/GCP) • Experience handling large-scale enterprise data transformation programs

At a Glance

Work ModeHybrid

EmploymentFull-time

Experience6–12 yrs

Openings1

LocationBangalore

DeadlineSep 19, 2026

[ Hiring process ]

What to expect

Four stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.

STEP 0130 min
Screening Call

Introductory conversation with our talent team to understand your background and motivations.

STEP 0260–90 min
Technical Round

Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.

STEP 0345 min
Culture Fit

Conversation with practice leadership covering working style, ownership, and how you collaborate.

STEP 04Within 5 days
Offer

Formal offer with full compensation breakdown, start date, and onboarding plan.

Apply Now

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At a Glance

What to expect

Screening Call

Technical Round

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Offer

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Snowflake Architect

Required Skills

Job Description

At a Glance

What to expect

Screening Call

Technical Round

Culture Fit

Offer

IN_Manager_SAP BTP Architect _GCC_Advisory_Bangalore