Jobs

Description

A Data & Analytics Architect is responsible for designing, building, and managing an organization’s data architecture and analytics platforms. They ensure that data is collected, stored, processed, and analyzed efficiently so that business teams can make better decisions using reliable data.

Key Responsibilities

1. Data Architecture Design

• Design scalable data architecture and data models.

• Define standards for data integration, storage, and processing.

• Ensure data systems support business analytics and reporting needs.

2. Data Platform Development

• Build and manage data warehouses, data lakes, and data pipelines.

• Select and implement appropriate tools and technologies for analytics platforms.

• Ensure high performance and scalability of data systems.

3. Data Integration

• Integrate data from multiple sources such as databases, APIs, and third-party systems.

• Design ETL/ELT processes for data transformation and loading.

4. Analytics & Reporting Support

• Enable business intelligence tools such as Power BI, Tableau, or Looker.

• Support advanced analytics, machine learning, and AI initiatives.

5. Data Governance & Security

• Define data governance frameworks and standards.

• Ensure compliance with data privacy regulations and security policies.

• Maintain data quality and data integrity.

6. Technology Strategy

• Evaluate new technologies and recommend improvements.

• Define data architecture roadmap aligned with business strategy.

7. Collaboration

• Work with data engineers, analysts, data scientists, and business teams.

• Translate business requirements into technical data solutions.

Required Skills

Technical Skills

• Data architecture design

• SQL and database technologies

• Data warehousing concepts

• ETL/ELT tools

• Cloud platforms (AWS, Azure, or Google Cloud)

• Big data technologies (Spark, Hadoop)

• Data modeling (dimensional & relational)

Analytics Tools

• Power BI

• Tableau

• Looker

• Python or R (for analytics)

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related field.

• 7–12 years of experience in data engineering, analytics, or data architecture.

• Experience designing enterprise-level data platforms.

Soft Skills

• Strong problem-solving ability

• Strategic thinking

• Communication and collaboration skills

• Ability to translate business needs into technical solutions