Senior Data Engineer — AWS & Databricks

Arkhya Tech. Inc.; Seattle (WA); Hybrid; USD 125,000 - 175,000; Full time

Job summary

Arkhya Tech. Inc. is 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. You will design end-to-end data pipelines, implement data quality and governance standards, and collaborate with architects and business stakeholders to translate requirements into production-ready solutions.

Qualifications

• 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.
• Experience across the data engineering lifecycle: ingestion, transformation, and warehousing.
• Experience working with structured and unstructured data.

Responsibilities

• Design end-to-end data 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.

Skills

AWS

Databricks

Delta Lake

Unity Catalog

Cluster Management

Data Pipelines

Structured & Unstructured Data

Job description

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.