We are looking for an experienced Lead Data Architect to join our team and drive the architecture design and implementation of our data platforms. The ideal candidate will have extensive experience with data warehouse technologies including Teradata Oracle Databricks and Snowflake as well as expertise in big data platforms like Hadoop. You will be responsible for leading the design and development of scalable data solutions that support our organization s strategic goals.
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.
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