Designing and Developing Data Architecture Implementing Data Governance Utilizing Database and Cloud Technologies:
Select and implement database solutions such as SQL, NoSQL, or Data Lakes, and leverage cloud platforms like AWS, Azure, or Google Cloud. Ensuring Data Integration:
Develop ETL processes to centralize data from multiple sources. Collaborating Across Teams:
Work closely with stakeholders, data engineers, and analysts to deliver robust data solutions. Maintaining Security and Compliance:
Uphold data security and regulatory compliance through encryption and anonymization techniques. What You'll Bring
Essential Skills and Experience: 1-2 years of experience in data architecture, database design, or data engineering. Experience with cloud-based data solutions (AWS, Azure, GCP). Hands-on experience with database management systems like Oracle, SQL Server, or PostgreSQL. Familiarity with big data technologies, including Hadoop, Spark, and Kafka. Proficiency in data modeling, ETL frameworks (e.g., Talend, Apache NiFi), and programming languages like SQL, Python, or Java. Knowledge of data visualization tools such as Power BI or Tableau. Preferred Skills: Certifications in data management or cloud platforms (e.g., AWS Data Analytics, Google Cloud Data Engineer). Familiarity with Agile/Scrum methodologies. About the Role
The Consultant Data Architect role provides the chance to innovate, optimize, and transform data strategies for businesses. By designing data frameworks and ensuring their scalability, this position offers the opportunity to contribute directly to impactful, data-driven solutions. Ready to shape the future of data architecture? Apply today.
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