Data Architect

15 - 25 Years
- 1 Opening
- Kochi

**Role description**:
We are seeking a highly skilled **Data Architect** to design, develop, and maintain end-to-end data architecture solutions, leveraging leading-edge platforms such as **Snowflake**, **Azure**, and **Azure Data Factory (ADF)**. The role involves translating complex business requirements into scalable, secure, and high-performance data solutions while enabling analytics, business intelligence (BI), and machine learning (ML) initiatives.

**Key Responsibilities**:
**Data Architecture & Design**:

- Design and develop end-to-end data architectures for integration, storage, processing, and analytics using **Snowflake** and **Azure** services.
- Build scalable, reliable, and high-performing data pipelines to handle large volumes of data, utilizing **Azure Data Factory (ADF)** and **Snowflake**.
- Create and maintain data models (dimensional and relational) optimized for query performance and analytics using **Azure Synapse Analytics** and **Azure Analysis Services (AAS)**.
- Define and implement data governance standards, data quality processes, and security protocols across all data solutions.

**Cloud Data Platform Management**:

- Architect and manage data solutions on **Azure Cloud**, ensuring seamless integration with services like **Azure Blob Storage**, **Azure SQL**, and **Azure Synapse**.
- Leverage **Snowflake** for data warehousing to ensure high availability, scalability, and performance.
- Design data lakes and data warehouses using **Azure Synapse**, creating architecture patterns for large-scale data storage and retrieval.

**Data Integration & ETL Development**:

- Lead the design and development of **ETL/ELT pipelines** using **Azure Data Factory (ADF)** to integrate data from various sources into **Snowflake** and other Azure-based data stores.
- Develop data transformation workflows using **Python** and **ADF** to process raw data into analytics-ready formats.
- Design and implement efficient ETL strategies using a combination of **Python**, **ADF**, and **Snowflake**.

**Analytics & Business Intelligence (BI)**:

- Design and implement data models for **BI** and reporting solutions using **Azure Analysis Services (AAS)** and **Power BI**.
- Create efficient data pipelines and aggregation strategies to support real-time and historical reporting across the organization.
- Implement best practices for data modeling to support business decision-making with tools like **Power BI**, **AAS**, and **Synapse**.

**Advanced Data Solutions (AI/ML Integration)**:

- Collaborate with data scientists and engineers to integrate **machine learning (ML)** and **AI** models into data pipeline architecture.
- Ensure that the data architecture is optimized for AI-driven insights and large-scale, real-time analytics.

**Collaboration & Stakeholder Engagement**:

- Work with cross-functional teams, including **business analysts**, **data engineers**, **data scientists**, and **IT** teams, to understand data requirements and align with business goals.
- Provide technical leadership, guiding development teams and ensuring adherence to architectural standards and best practices.
- Effectively communicate complex data architecture concepts to non-technical stakeholders, translating business needs into actionable solutions.

**Performance & Optimization**:

- Continuously monitor and optimize data solutions, ensuring fast, scalable data queries, transformations, and reporting functions.
- Troubleshoot and resolve performance bottlenecks in data pipelines and architecture, ensuring mínimal downtime and high availability.
- Implement strategies for data archiving, partitioning, and optimization in **Snowflake** and **Azure Synapse** environments.

**Security & Compliance**:

- Design and implement robust security frameworks to protect sensitive data across **Snowflake**, **Azure Synapse**, and other cloud platforms.
- Ensure data privacy and compliance with industry regulations (e.g., **GDPR**, **CCPA**) through necessary security controls and access policies.

**Skills**:
Snowflake, Azure databricks, Python

**About UST**:
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.