Senior Data Engineer — AWS & Databricks

Hiring Senior Data Engineer — AWS & Databricks

Location:

Seattle, WA / Dallas, TX / Phoenix, AZ / Charleston, SC

Work Model:

Hybrid — 1–2 days/week

Employment Type:

Full-Time / Contract

Job Overview

We are seeking a

Senior Data Engineer

to design and deliver modern data platforms using

AWS and Databricks

. The role focuses on hands-on data engineering across ingestion, transformation, and warehousing for structured and unstructured data.

Key Responsibilities

• Design and deliver end-to-end data engineering solutions across AWS and Databricks.

• Build scalable data pipelines for structured and unstructured data.

• Partner with architects and business stakeholders to translate requirements into production-ready solutions.

• Establish standards for data quality, governance, reliability, and platform scalability.

Required Skills

• Strong hands-on experience with

  AWS

  services across compute, storage, orchestration, and security.

• Deep experience with

  Databricks

  , including Delta Lake, Unity Catalog, cluster management, and job orchestration.

• Strong experience across the data engineering lifecycle, including ingestion, transformation, and warehousing.

• Experience working with both structured and unstructured data.

Preferred Skills

• Exposure to

  Agentic AI

  concepts and frameworks.

• Manufacturing industry experience.

• Knowledge of data modeling, including dimensional and canonical modeling.

How to Apply:

Interested candidates can send their updated resume to

ekta@arkhyatech.com

.