About the Position
We are seeking an accomplished Data Architect with deep experience in designing, implementing and optimizing modern cloud data platforms. The ideal candidate will expertly leverage Snowflake, Databricks, DBT, Airflow, Python, PySpark and have hands-on exposure to advanced AI / ML and Generative AI (GenAI) solutions in real-world enterprise environments. You will partner with business and tech leaders to deliver scalable innovative data products architectures and analytics capabilities.
Key Responsibilities
- Architect and implement scalable data platforms pipelines and solutions using Snowflake, Databricks, DBT, Airflow, Python and PySpark
- Lead cloud data migration projects designing 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 e.g predictive analytics intelligent automation
- Collaborate with business stakeholders to define requirements translating needs into technical architectures
- Manage platform cost optimization data quality / governance and performance tuning
- Evaluate and recommend emerging tech tools and architectures to drive innovation
Requirements
Bachelor's or Master's degree in Computer Science Data Engineering Information Systems or related field7+ years of professional experience in data architecture engineering or analytics rolesAdvanced hands-on experience with Snowflake (data warehousing modeling optimization)Deep expertise in Databricks (Spark ML workflows lakehouse architectures) and PySparkProficient with DBT for data transformation and modelingExpert in building robust workflows with Apache AirflowStrong programming skills in Python (including data and ML libraries)Proven track record implementing AI / ML solutions with at least basic exposure to GenAI (LLMs prompt engineering AI API integration)Cloud platform experience (Azure AWS or GCP)Excellent problem-solving communication and stakeholder management skillsNecessary Skills
Experience with Terraform CI / CD for data engineeringFamiliarity with data governance privacy and security best practicesPrior experience in client-facing solution architect or enterprise delivery rolesCertifications in Snowflake Databricks Python or cloud platformsPublished work or demonstrated portfolio of data / AI projectsUnderstanding of modern API integration and real-time analyticsEqual Opportunity Statement
We are committed to diversity and inclusivity.