Data Solution Architect

14 hours ago

India Bristlecone Full time
We are seeking an accomplished Data Solutions 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.

We are looking for a Data Solutions Architect who will be responsible for architecting and implementing scalable data platforms and solutions.

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., Manage platform cost optimization, data quality/governance, and performance tuning
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 at least basic exposure to GenAI (LLMs, prompt engineering, AI API integration)
~ Cloud platform experience (Azure, AWS, or GCP)
~ 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
We are committed to diversity and inclusivity.

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