Senior Data Engineer

This role is for a Senior Data Engineer (Enterprise Architect) on a contract basis, remote (US only), with an unspecified duration. Requires 10+ years in enterprise architecture, 5+ years in Data Engineering, and cloud analytics expertise, particularly with Azure.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
January 25, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#ML (Machine Learning) #Automation #Data Lake #Migration #Python #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Spark (Apache Spark) #Cloud #Data Ingestion #Azure #Data Engineering
Role description
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Location: Remote - Must live in the US

Contract Type: Contract

Contract Duration: TBD

Salary

We are a specialized career platform connecting candidates with premier career opportunities. Our AI career agent, Hunter, works 24/7 to match talented professionals with roles that align perfectly with their skills, contract preferences, and career aspirations, both through our direct client network and broader market opportunities.

About The Role

We are seeking a talented and experienced Senior Data Engineer (Enterprise Architect) to join a dynamic team at a large tech company. You will have the opportunity to work with cutting-edge cloud-based data analytics solutions and directly impact the technology strategies of a market-leading enterprise. This is a fantastic chance to leverage your expertise in data engineering to influence future ICT architectures and drive meaningful business improvements.

Responsibilities
• Evaluate and align the organization's ICT architecture with strategic transformations.
• Identify future ICT requirements and develop migration strategies.
• Assess feasibility and risks in transitioning to target architectures.
• Advise on emerging ICT trends and their business impact.
• Develop and implement architectural improvement plans.
• Coach and mentor teams for effective architecture management.

Requirements
• Must live in the US.
• Over 10 years of experience (or 5+ years with certification) in enterprise architecture roles.
• Minimum of 5 years of recent experience in Data Engineering.
• Hands-on experience with cloud-based analytics such as Data Lake Gen 2, Azure ML.

Preferred Skills
• Familiarity with Azure tools for data ingestion, automation, and quality control.
• Strong skills in Python, SQL, and Spark for data querying and ingestion.

Application Process

The first step will be with our AI career agent, Hunter, who'll get to know you better to match you with this and other roles. Afterwards, you'll be evaluated by the hiring team.