Data Analytics Architect

Job Description

We are lhiringa Solution Architect for the Global Data and Analytics team with the Product MNC as their direct and full time employee.interested candidates can share word format resume with details at hidden_email Solution Architect is responsible for designing, building, and overseeing the implementation of highly scalable, end-to-end (E2E) analytics architectures. This role tackles complex enterprise data challenges by leveraging a cloud data stack (specifically Azure, Snowflake, and dbt) and accelerates technical delivery.Job Title : Solution Architect-AnalyticsExperience : Total 12-18 Yrs ( 5 Yrs as Solution Architect for Data Analyrics)Location : Chennai# Purpose :The Solution Architect is responsible for designing, building, and overseeing the implementation of highly scalable, end-to-end (E2E) analytics architectures. This role tackles complex enterprise data challenges by leveraging a cloud data stack (specifically Azure, Snowflake, and dbt) and accelerates technical delivery by championing and integrating AI-assisted development tools and practices.# Key Skills : E2E solutions for Data Architecture,Solution Architect,Analytics Architecture,Data analytics,data engineering,Data modeling,Data Warehousing,analytics solutions,Architecture design,technical ownership and leadership,Snowflake, dbt, Snowflake,Azure Data Factory, ADLS,DBT,Data vault,AI-assisted development tools i.e. GitHub Copilot,data governance, security, and performance standards,# Highlights :
• Design Architectural diagram,review,technical documents for Analytics Architecture.
• Technical ownership as Data Architect/Solution Architect for Analytics team providing design,review,solutions for data analytics.
• End to End ownership of Data Analytics,data pipeline,Data Ingestion,Data transformation,and consumption.
• Complete ownership of data analytics from Data ingestion using Azure,transformation using DBT & Snowflake.
• Technical ownership including data strategy, Data engineering,Data warehousing & Data modeling.
• Own data governance, security, and performance standards,Best practices across global analytics.
• Stakeholder collaboration with Business unit,Data Engg, Product Owners to translate business req. to Technical design.
• Expertise in Data engineering,Analytics,Data pipeline,Snowflake,DBT,Data Vault,Azure Data factory,ADLS.
# Typical Activities:
• Designing architecture diagrams and writing technical design documents for new analytics use cases.
• Conducting code and architecture reviews to ensure optimal Snowflake query performance and efficient dbt model execution.
• Prototyping new solutions using Azure cloud services and exploring AI tools to automate routine engineering tasks.
• Leading technical syncs with global stakeholders across different time zones.
• Tools/Technologies: Snowflake, dbt, Azure (Data Factory, ADLS, etc.), Git, CI/CD pipelines, AI-coding assistants.
# Responsibilities :Take full ownership of the Analytics Architecture, ensuring robust data pipelines from ingestion (Azure) to transformation (dbt) and consumption (Snowflake).
• Strategic Influence: Act as a technical authority, influencing global data strategy and guiding engineering teams on best practices for cloud data warehousing and data modeling.
• Stakeholder Collaboration: Partner closely with global business units, Product Owners, and Data Engineers to translate business requirements into technical blueprints.
• Innovation & Efficiency: Drive the adoption of AI-assisted development tools (e.g., GitHub Copilot) within the delivery teams to improve code quality and reduce time-to-market.
• Standards & Governance: Establish and enforce data governance, security, and performance standards across the analytics ecosystem.
• While primarily an individual contributor expert role, this position provides critical technical leadership and mentorship to a global team of 5-10 direct/indirect data engineers and developers.
Capability Building: Responsible for upskilling the team on modern tools (dbt, Snowflake) and AI-driven development workflows.# Experience :Bachelors or Masters degree in Computer Science, Engineering, IT, or a related field. 10 years of overall experience in Data & Analytics, with at least 3 years operating specifically as a Data/Solution Architect. Technical Expertise: Deep, hands-on architectural experience with Snowflake (data sharing, performance tuning, architecture).o Expertise in dbt (data build tool) for data transformation and modeling.

Keyskills :
data architecturedata engineeringdbtdata analysisdata modelingsnowflakedata solutionsetldata warehousing