Sr. Lead Data Engineer

Metasys Technologies; Houston (TX); Remote; USD 130,000 - 180,000; Full time

Job summary

A leading technology company is seeking a Data Engineering Lead for a remote role on a 12+ month contract. This position demands over 10 years of experience and expertise in Databricks on AWS, where you will be responsible for guiding technical deliveries and managing customer engagements using Agile methodologies. The ideal candidate will possess leadership skills and a profound understanding of medallion architecture principles, ensuring seamless collaboration between onsite and offshore teams.

Qualifications

• 10+ years overall experience.
• Hands-on expertise in Databricks on AWS, PySpark, and Spark SQL.
• Strong understanding of medallion architecture.

Responsibilities

• Lead customer engagement from a technical perspective.
• Provide ETL guidance based on medallion architecture principles.
• Ensure onsite-offshore delivery alignment.

Skills

Databricks on AWS

PySpark

Spark SQL

Agile methodology

Leadership

Coordination across distributed teams

Job description

Data Engineering Lead
Remote Position
12+Month Contract

Overview
Looking for a Data Engineering Lead with 10+ years of experience, proficient in Databricks on AWS, PySpark, and Spark SQL. The role involves leading customer engagements from a technical perspective and aligning onsite-offshore delivery using Agile methodology.

Responsibilities

• Lead customer engagement from a technical point of view

• Provide ETL guidance based on medallion architecture principles

• Adhere to Agile execution methodology

• Lead daily stand-up calls

• Ensure onsite-offshore delivery alignment

Requirements

• 10+ years overall experience

• Hands-on expertise in Databricks on AWS, PySpark, Spark SQL

• Strong understanding of medallion architecture

• Proven Agile project experience

• Leadership and coordination skills across distributed teams

Metasys Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.