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Azure Databricks Architect

SumasEdge Corporation
Minneapolis, United States
9 days ago
Apply on www.dice.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Microsoft Azure Data Architecture Extract Transform Load (ETL) Apache Hadoop Apache Hive Microsoft SQL Server Oracle (Applications) Performance Tuning Azure Data Lake SAS (Software) SQL Databases Data Streaming
+8 more
Teradata SQL Azure Data Factory Delivery Pipeline Apache Spark Data Lakes Pyspark Azure Synapse Analytics Databricks

Job description

The Azure Databricks Architect will design and deliver scalable Lakehouse solutions on Azure using Databricks, Delta Lake, PySpark, Spark SQL, ADLS Gen2, ADF, Synapse, and modern data governance practices.

Requirements

The candidate should have strong hands-on experience in cloud data architecture, Databricks platform design, performance optimization, migration, data modeling, streaming, and security.

Design Databricks Lakehouse architecture using Delta Lake and Bronze/Silver/Gold Medallion layers.

Build pipelines using Databricks Workflows, Delta Live Tables, Auto Loader, Azure Data Factory, and Databricks SQL.

Work with Azure Data Lake Storage Gen2, Synapse, PySpark, Spark SQL, and SQL for enterprise data solutions.

Optimize Spark workloads through partitioning, cluster sizing, data skew handling, broadcast joins, and Photon acceleration.

Lead migration from SAS, Hadoop, Teradata, Oracle, SQL Server, Synapse, and legacy ETL platforms.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

1:43 min

AWS infrastructure stack and data flow pipeline overview

Artem Volk Artem Volk +1 · World Congress 2024

2:56 min

Core data lake environment and infrastructure requirements

Christoph Fassbach Christoph Fassbach +1 · World Congress 2024

Videos

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Empowering Retail Through Applied Machine Learning thumbnail
22:41
World Congress 2024 • about 2 years ago

Empowering Retail Through Applied Machine Learning

Christoph Fassbach, Daniel Rohr

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • 2 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • about 2 months ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post thumbnail
20:43
Europe 2026 Virtual • 2 months ago

Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post

Lukas Alber

Data Science in Retail thumbnail
58:21
LIVE • over 3 years ago

Data Science in Retail

Julian Joseph

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