About the Role
">
At the forefront of data innovation, we seek an accomplished Data Architect to spearhead the design and implementation of cutting-edge cloud data platforms. As a visionary in the field, you will partner with business and technical 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 field.">
7+ years of professional experience in data architecture, engineering, or analytics roles.">
Advanced hands-on experience with Snowflake data warehousing modeling and 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 at least basic exposure to GenAI, LLMs, prompt engineering, AI API integration.">
Cloud platform experience (Azure, AWS, GCP).">
Excellent problem-solving, communication, and stakeholder management skills.">
">
Preferred 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.">
">
Equal Opportunity Statement
">
We are committed to diversity and inclusivity.