Cloud Data Architect Position
We are seeking a skilled Cloud Data Architect to design and implement scalable data platforms. The ideal candidate will have hands-on experience with Snowflake, Databricks, DBT, Airflow, Python, and PySpark.
- Design and implement cloud data platforms using Snowflake, Databricks, and DBT.
- Lead cloud data migration projects and develop robust, secure, and reusable analytics architectures.
- Develop and optimize ELT / ETL workflows for batch and real-time processing.
- Design dimensional models, data lakes, data marts, and advanced analytics infrastructures.
- Oversee and mentor data engineering teams in coding standards, CI / CD, and best practices.
- Integrate AI / ML models and GenAI capabilities into data products and workflows.
- Collaborate with business stakeholders to define requirements and translate needs into technical architectures.
- Manage platform cost optimization, data quality / governance, and performance tuning.
Qualifications :
Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.7+ years of professional experience in data architecture, engineering, or analytics roles.Advanced hands-on experience with Snowflake data warehousing modeling, optimization.Deep expertise in Databricks, Spark ML workflows, lakehouse architectures, and PySpark.Proficient with DBT for data transformation and modeling.Expert in building robust workflows with Apache Airflow.Strong programming skills in Python, including data and ML libraries.Proven track record implementing AI / ML solutions with basic exposure to GenAI LLMs, prompt engineering, AI API integration.Cloud platform experience : Azure, AWS, or GCP.Required Skills :
Experience with Terraform, CI / CD for data engineering.Familiarity with data governance, privacy, and security best practices.Prior experience in client-facing solution architect or enterprise delivery roles.Certifications in Snowflake, Databricks, Python, or cloud platforms.Published work or demonstrated portfolio of data / AI projects.Understanding of modern API integration and real-time analytics.At our company, we value diversity and inclusivity.