Big Data Architect
Job Summary
We are seeking an experienced Big Data Architect to design and lead enterprise-scale data platforms. The ideal candidate will have expertise in Snowflake, Databricks, BigQuery, Redshift, Spark, Kafka, lakehouse architectures, and cloud platforms, with experience building scalable, secure, and high-performance data solutions.
Key Responsibilities
- Design and lead enterprise data platform architecture and data pipelines.
- Build scalable lakehouse, warehouse, and streaming solutions.
- Define data modeling, governance, security, and architecture standards.
- Optimize platform performance, scalability, reliability, and cost.
- Collaborate with data engineering, analytics, ML, and business teams.
- Mentor engineers and drive data platform best practices.
Required Qualifications
- 8+ years of experience in data engineering, including architecture roles.
- Strong expertise in Snowflake, Databricks, BigQuery, Redshift, Spark, Kafka, and cloud platforms.
- Experience with data modeling, lakehouse architectures, governance, and streaming technologies.
Preferred Qualifications
- Experience with data mesh, dbt, LookML, or semantic layers.
- Cloud certifications (Snowflake, Databricks, AWS, Azure, or GCP) and experience in regulated environments.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
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