Responsibilities:
Design and implement scalable, secure, and reliable data architectures using cloud-based and on-premises solutions, including AWS (preferred) or other cloud platforms.
Develop and maintain data pipelines for efficient data ingestion, transformation, and integration from various sources (e.g., SCADA systems, sensors, enterprise applications).
Design and optimize data warehouse and data lake structures based on dimensional modeling and data governance best practices.
Develop and implement data quality and security measures to ensure data accuracy, integrity, and compliance with relevant regulations.
Collaborate with data engineers, business analysts, and other stakeholders to understand business needs and translate them into technical solutions.
Develop and implement data governance policies and procedures to ensure consistent and controlled data management practices.
Stay up-to-date with the latest trends and technologies in data architecture and cloud computing.
Document technical designs, solutions, and processes.
Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree preferred).
5 years of experience as a Data Architect or similar role. Overall experience should be more than 15 years.
Proven experience in designing and implementing data architectures on cloud platforms (AWS preferred).
Strong understanding of data warehousing, data modeling, and data governance principles.
Experience with data integration tools and technologies (e.g., ETL/ELT tools, APIs).
Experience with SQL and scripting languages (e.g., Python, Bash).
Excellent communication, collaboration, and problem-solving skills.
Ability to work independently and as part of a team.
Strong attention to detail and accuracy.