Sr Data Architect. Salary to 114K, plus bonuses and excellent benefits package.
**No visa sponsorship at this time.**
Job Purpose
We're on the lookout for a visionary Senior Data Architect to join our client's Data Architecture team. In this position, you will lead play a vital role in defining/fine-tuning data architecture standards and best practices, including the vision, strategy, and principles for managing and interacting with governed data.
In this pivotal role, you'll be instrumental in crafting high-performance data pipelines, ensuring data integrity, and expanding data access and governance. You’ll work cross-functionally with diverse teams, including data analysts, business analysts, and stakeholders, to understand data requirements and create scalable and efficient data models and reporting systems. You’ll define and achieve our strategic objectives with business teams and senior leader to ensure we’re meeting strategic goals and establishing global benchmarks for data architecture.
Your expertise will help drive the development of high-performance data systems, uphold data integrity, and broaden the horizons of data utilization and governance.
Qualifications, Experience, and Skills
Education:
- An undergraduate or graduate level degree in computer science, applied mathematics / statistics, electronics / electrical engineering or similar field of study.
Technical qualifying skills:
- 7+ years of experience in data management working as a data architect with a good foundation of experience in data modeling/data structures (star schemas, OLAP cubes, etc.)
- 7+ years of experience in Data Analysis, Information Management and Business Intelligence
- 5+ years of advance knowledge of designing & working with multi-dimensional data modeling, i.e., entity relationships, star/snowflake schemas, hierarchies, attributes, measures, granularity/aggregation
Skills:
- Proven experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Redshift, Snowflake, Databricks)
- Experience with various database platforms, including DB2, MS SQL Server, PostgreSQL, Couchbase, MongoDB, RDS, DynamoDB, etc.
- Knowledge of master data management, data cataloging and organizing data using multi-dimensional analysis.
- Experience with tools like Power BI, Tableau, BO, QuickSight, Synapse, Qlik.
- Ability to learn and adopt new technologies, especially in advance data analytics and AI/ML
- Familiar with applicable data privacy practices and laws
- Dynamic, self-driven professional with a strong sense of ownership
- Leader who demonstrates, inspires, and fosters team success and individual growth and a team player who has a proven ability to build trust and influence.
- Exceptional communication and presentation skills