Data Solution Architect

Movate Technologies

Hyderabad, Chennai District, Bengaluru

On-site

INR 4,000,000 - 7,000,000

Full time

14 days+

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Job summary

Movate is seeking an experienced Data Architect to drive large-scale data modernization and Snowflake-based data platforms. You will lead enterprise data architectures, assess SAP HANA environments, and design scalable, secure data ecosystems.

This role emphasizes data governance, cloud data warehousing strategies, Medallion Architecture, and AI-ready foundations while ensuring performance, security, and cost efficiency.

Qualifications

10+ years of experience in Data Architecture and Data Engineering.
Hands-on with at least two enterprise-scale Snowflake implementations.
Strong expertise in Snowflake, Kimball, Inmon, and Data Vault 2.0 modeling.
Experience with dbt and modern ELT practices.
Exposure to AI, LLM integration, and prompt engineering.

Responsibilities

Lead enterprise data modernization and Snowflake platform design.
Assess SAP HANA landscapes and migrate to Snowflake by migration strategy.
Define target-state architecture and governance standards.
Develop data pipelines and data lakehouse architectures.
Collaborate with stakeholders to align data platforms with business goals.

Skills

Snowflake Architecture

Data Modeling

Cloud Architecture

dbt

Data Governance

MDM

RBAC

AI-ready Data

SQL Development

ETL/ELT

Tools

Snowflake

dbt

SAP HANA

Azure

AWS

GCP

Power BI

Tableau

Job description

Data Architect - Movate

Role: Data Architect
Experience: 10+ Years
Employment Type: Full-Time
Location: Chennai / Bangalore / Pune (Hybrid)

About Movate

Movate (formerly CSS Corp) is a digital technology and customer experience services company that helps organizations accelerate business transformation through innovative technology solutions. With over 11,500 professionals across 20 global locations, Movate partners with leading enterprises worldwide to deliver digital transformation, cloud, data, AI, and customer support solutions.

Job Summary

Movate is looking for an experienced Data Architect to drive large-scale data modernization and cloud data warehouse transformation initiatives. The ideal candidate will lead the design of enterprise data architectures, assess existing SAP HANA environments, and architect scalable, secure, and high-performing Snowflake-based data platforms.

This role will be responsible for defining future-state architecture, data governance standards, cloud data warehousing strategies, Medallion Architecture, and AI-ready data foundations while ensuring optimal performance, scalability, security, and cost efficiency.

Key Responsibilities

Data Architecture & Modernization

Assess and analyze existing SAP HANA landscapes, including Calculation Views, Stored Procedures, ETL processes, and reporting frameworks.
Define target-state architecture and migration strategies from SAP HANA and other legacy platforms to Snowflake.
Design enterprise-scale Snowflake data warehouse solutions aligned with business and technology objectives.
Create scalable, secure, and high-performance cloud-native data architectures.
Develop modern Data Lakehouse and Data Warehouse architectures.

Data Modeling & Governance

Design and implement enterprise data models using:

Kimball Methodology
Inmon Methodology
Data Vault 2.0

Implement Medallion Architecture (Bronze, Silver, Gold layers).
Establish enterprise data governance, metadata management, data lineage, and data quality frameworks.
Define security, compliance, and regulatory standards across the data ecosystem.
Implement role-based access controls (RBAC) and data security best practices.

Snowflake Architecture

Design Snowflake architecture, including:

Virtual Warehouses
Storage & Compute Strategy
Snowpipe
Data Sharing
Time Travel & Fail-safe
Clustering Keys
Query Performance Optimization

Drive platform performance tuning, workload management, and cost optimization initiatives.
Define standards and reusable design patterns for enterprise-wide adoption.

Data Engineering & Transformation

Lead the design of ELT/ETL frameworks and data integration strategies.
Utilize dbt for transformation, testing, deployment automation, and data lineage management.
Establish scalable data ingestion, transformation, and consumption frameworks.
Support legacy system reverse engineering and modernization programs.

AI & Advanced Analytics

Design AI-ready data platforms supporting advanced analytics and machine learning.
Enable LLM integration, Prompt Engineering, and Generative AI use cases.
Architect data pipelines for AI/ML workloads.
Collaborate with analytics and AI teams on enterprise AI initiatives.

Leadership & Collaboration

Lead architecture review boards, design workshops, and governance discussions.
Mentor engineering teams on modern data architecture practices.
Collaborate with business stakeholders, architects, engineers, and analytics teams.
Provide technical leadership and strategic direction for enterprise data programs.

Required Skills

Snowflake

Snowflake Architecture
Virtual Warehouses
Snowpipe
Clustering Keys
Query Performance Optimization
Snowflake Security & Governance
Data Sharing
Time Travel & Fail-safe

Data Architecture & Modeling

Enterprise Data Architecture
Dimensional Modeling
Inmon Methodology
Kimball Methodology
Data Vault 2.0
Data Warehouse Design
Data Lakehouse Architecture
Medallion Architecture

Cloud & Governance

Cloud Security Governance
Data Governance Frameworks
Data Quality Management
Metadata Management
Master Data Management (MDM)
Data Lineage
Compliance & Regulatory Controls

Data Engineering

dbt (Data Build Tool)
ETL / ELT Frameworks
Data Integration
SQL Development
Data Migration & Modernization
Reverse Engineering of Legacy Systems

AI & Advanced Analytics

LLM Integration
Prompt Engineering
AI/ML Data Architecture
Generative AI Data Pipelines

Mandatory Qualifications

10+ years of experience in Data Architecture and Data Engineering.
Hands-on experience delivering at least two enterprise-scale Snowflake implementations.
Strong expertise in Snowflake architecture and cloud-native data platforms.
Proven experience with Kimball, Inmon, and Data Vault 2.0 modeling methodologies.
Hands-on implementation experience with Medallion Architecture.
Strong understanding of cloud security, governance, and compliance frameworks.
Experience with dbt and modern ELT practices.
Exposure to AI, LLM Integration, and Prompt Engineering use cases.
Excellent stakeholder management, solution design, and architecture governance experience.

Preferred Qualifications