Lead Data Engineer​/Data Architect_only W2

Lead Data Engineer / Data Architect (W2 Only)

Only local to Texas. 12+ years experience.

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, Big Query), 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.

Seniority Level Mid‑Senior level

Employment Type Contract

Job Function Information Technology

Industries IT Services and IT Consulting