Data Solution Architect

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Role Overview

Data Solutions Architect

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

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field
• 10+ 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)
• Excellent problem-solving, communication, and stakeholder management skills

Preferred Qualifications

• 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