Principal Consultant Data Analytics

We are looking for an experienced Data Architect to design, develop, and optimize data structures, ensuring scalability, security, and efficiency. The ideal candidate will have strong expertise in database management, data modeling, cloud technologies, and big data frameworks. This role involves close collaboration with software engineers, data analysts, and business stakeholders to ensure data integrity and accessibility.

Responsibilities:

• Develop and maintain scalable, high-performance data architectures aligned with business needs
• Design conceptual, logical, and physical data models for structured and unstructured data
• Optimize and manage relational and NoSQL databases
• Design and manage ETL pipelines for data ingestion, transformation, and warehousing.
• Work with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop, Databricks)
• Maintain clear documentation for data models, architecture, and processes.

Requirements:

• Bachelor's or Master’s degree in Computer Science, Information Systems, or a related field.
• 5+ years in data architecture, database design, and data engineering.
• Strong expertise in SQL and NoSQL databases
• Proficiency in data modeling tools.
• Experience with cloud platforms (AWS, Azure, GCP) and data warehouse solutions (Snowflake, Redshift, BigQuery).
• Knowledge of data pipeline and ETL tools (e.g., Apache NiFi, Talend, DBT).
• Hands-on experience with big data technologies (Spark, Hadoop, Kafka).
• Programming experience in Python, Scala, or Java for data processing.
• Strong understanding of data security, governance, and compliance frameworks.