About the role
Key Responsibilities:
- Lead the development and implementation of data architecture strategies that align with business objectives.
- Design and oversee the architecture of enterprise data warehouses, data lakes, and big data platforms.
- Establish best practices and standards for data modeling, integration, and management.
- Data Architecture and Strategy
Education:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
Experience:
- 15+ years of experience in data architecture, data warehousing, and big data solutions.
- Extensive experience with data warehouse platforms such as Teradata and Oracle.
- Deep understanding and hands-on experience with big data technologies like Hadoop, HDFS, Hive, and Spark.
- Proven track record of designing and implementing large-scale data architectures in complex environments.
Skills:
- Strong expertise in data modeling, data integration (ETL/ELT), and database design.
- Proficiency in SQL, PL/SQL, and performance tuning in Teradata, Oracle, and other databases.
- Familiarity with cloud data platforms and services is a plus (e.g., AWS Redshift, Google BigQuery, Azure Synapse).
- Experience with data governance, security, and compliance best practices.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Strong leadership, communication, and collaboration abilities.
Preferred Qualifications:
- Experience with additional big data and NoSQL technologies (e.g., Cassandra, MongoDB).
- Familiarity with data visualization and BI tools (e.g., Tableau, Power BI).
- Experience with cloud-based data architectures and hybrid data environments.
- Certifications in data architecture, data warehousing, or related areas.
- Selected applicant will be subject to a background investigation, which will be conducted and the results of which will be used in compliance with applicable law.