Senior Data Engineer -- AWS & Databricks

Hiring Senior Data Engineer — AWS & Databricks

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

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Work Model: Hybrid — 1–2 days/week

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Employment Type: Full-Time / Contract

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Job Overview

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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.

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Key Responsibilities

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• Design and deliver end-to-end data engineering solutions across AWS and Databricks.
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• Build scalable data pipelines for structured and unstructured data.
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• Partner with architects and business stakeholders to translate requirements into production-ready solutions.
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• Establish standards for data quality, governance, reliability, and platform scalability.
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Required Skills

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• Strong hands-on experience with AWS services across compute, storage, orchestration, and security.
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• Deep experience with Databricks, including Delta Lake, Unity Catalog, cluster management, and job orchestration.
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• Strong experience across the data engineering lifecycle, including ingestion, transformation, and warehousing.
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• Experience working with both structured and unstructured data.
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Preferred Skills

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• Exposure to Agentic AI concepts and frameworks.
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• Manufacturing industry experience.
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• Knowledge of data modeling, including dimensional and canonical modeling.
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How to Apply:

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Interested candidates can send their updated resume to ekta@arkhyatech.com.