Data Architect

We are seeking a strategic Data Architect to define and implement enterprise data architecture that aligns with business objectives and supports digital transformation initiatives.
This role is crucial in ensuring that data assets are structured, integrated, and optimized for analytics, reporting, and operational efficiency.
The Data Architect will collaborate with business stakeholders, IT leadership, and engineering teams to design scalable, secure, and high-performing data ecosystems that enable data-driven decision-making across the organization.
Responsibilities:
Develop and maintain enterprise data architecture frameworks aligned with business goals.
Design end-to-end data pipelines and integration strategies using modern cloud technologies.
Define data modeling standards, metadata management, and governance principles.
Collaborate with business analysts and data engineers to translate requirements into technical designs.
Ensure data quality, consistency, and compliance with regulatory standards.
Optimize data storage, retrieval, and transformation processes for performance and scalability.
Lead architecture reviews and provide guidance on data platform enhancements.
Evaluate emerging technologies and recommend adoption strategies for data modernization.
Mandatory Skills:
AWS Glue – Expert
PySpark – Expert
Data Modeling (Conceptual, Logical, Physical) – Expert
Data Governance & Metadata Management – Advanced
SQL and NoSQL Databases – Advanced
Data Lake & Warehouse Design (Redshift, Snowflake) – Advanced
ETL/ELT Frameworks & Automation – Advanced
Preferred Skills:
Good Communication
Stakeholder Management
Agile Methodology
Documentation & Standards Problem Solving & Analytical Thinking
Data Security & Compliance Awareness
Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field.
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