Lead Data Engineer / Data Architect_only on W2

Position: Lead Data Engineer / Data Architect

Only on W2

Only local to Texas

12 years exp

Overview

We are seeking an experienced professional to lead the design, implementation, and management of enterprise-grade data solutions. The ideal candidate will have deep expertise in data engineering, data architecture, and cloud-based data platforms, enabling scalable analytics and machine learning solutions.

Education & Experience

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
• Minimum 10 years in data engineering or architecture roles, with at least 3 years in a lead capacity.
  
  

Must-Have Skills & Expertise

• Proficiency in SQL and Python.
• Strong experience with cloud platforms (AWS, Azure, or GCP) and associated data services.
• Hands-on experience with data warehouses (Snowflake, Redshift, BigQuery), Databricks, and data lakes (S3, ADLS, HDFS).
• Expertise in big data processing frameworks (Spark, Flink).
• Knowledge of real-time streaming architectures (Kafka, Kinesis) and Lambda/Kappa architectures.
• Experience in data modeling, data governance, and ensuring high data quality.
• Hands-on experience with containerization and orchestration (Docker, Kubernetes).
• Ability to design and implement end-to-end data pipelines for batch and real-time processing supporting analytics and ML.
  
  

Key Responsibilities

• Lead the architecture, design, and management of enterprise data platforms.
• Ensure reliable, clean, and usable data across the organization.
• Implement scalable data workflows and enforce data governance standards.
• Collaborate with cross-functional teams to enable analytics and machine learning initiatives.