Azure Data Analytics Architect — Lead Databricks & Data Solutions

MACHINE LEARNING TECHNOLOGIES LLC

Houston (TX)

On-site

USD 120,000 - 150,000

Full time

3 days ago

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Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking an Azure Data Analytics Architect based in Houston, TX. In this role, you will lead the architecture, design, and implementation of advanced analytics solutions leveraging Azure Databricks and other technologies.

Your responsibilities will include overseeing ETL processes, managing data pipelines, and providing technical leadership to the data engineering team. The ideal candidate will have over 8 years of experience in Azure technologies and data engineering.

Qualifications

8+ years of experience in data ingestion and transformation using Azure technologies.
Strong understanding of Azure services like Synapse and Data Lake.
Proficient in building and optimizing data pipelines.

Responsibilities

Lead architecture and implementation of advanced analytics solutions.
Oversee development of data pipelines using Databricks and PySpark.
Integrate Azure services with on-premise systems.

Skills

Azure Databricks

Big Data Technologies

SQL

CI/CD Pipelines

Cloud Security

Tools

Power BI

Azure Data Factory

Delta Lake

Job description

Sr .Net Azure Developer - Mount Juliet, TN

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Job Description

Job Overview

Job ID:

J52732

Job Title:

Azure Data Analytics Architect

Location:

Houston, TX

Duration:

20 Months + Extension

Hourly Rate:

Depending on Experience (DOE)

Work Authorization:

US Citizen, Green Card, OPT-EAD, CPT, H-1B,

H4-EAD, L2-EAD, GC-EAD

Client:

To Be Discussed Later

Employment Type:

W-2, 1099, C2C

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Responsibilities

Lead the architecture, design, and implementation of advanced analytics solutions using Azure Databricks/ Fabric. The ideal candidate will have a deep understanding of big data technologies, data engineering, and cloud computing, with a strong focus on Azure Databricks along with Strong SQL.
Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions.
Oversee the end-to-end implementation of data solutions, ensuring alignment with business requirements and best practices.
Lead the development of data pipelines and ETL processes using Azure Databricks, PySpark, and other relevant tools.
Integrate Azure Databricks with other Azure services (e.g., Azure Data Lake, Azure Synapse, Azure Data Factory) and on-premise systems.
Provide technical leadership and mentorship to the data engineering team, fostering a culture of continuous learning and improvement.
Ensure proper documentation of architecture, processes, and data flows, while ensuring compliance with security and governance standards.
Ensure best practices are followed in terms of code quality, data security, and scalability.
Stay updated with the latest developments in Databricks and associated technologies to drive innovation.

Essential Skills

Strong experience with Azure Databricks, including cluster management, notebook development, and Delta Lake.
Proficiency in big data technologies (e.g., Hadoop, Spark) and data processing frameworks (e.g., PySpark).
Deep understanding of Azure services like Azure Data Lake, Azure Synapse, and Azure Data Factory.
Experience with ETL/ELT processes, data warehousing, and building data lakes.
Strong SQL skills and familiarity with NoSQL databases.
Experience with CI/CD pipelines and version control systems like Git.
Knowledge of cloud security best practices.

Soft Skills

Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Strong problem-solving skills and a proactive approach to identifying and resolving issues.
Leadership skills with the ability to manage and mentor a team of data engineers.

Nice To Have Skills

Power BI for dashboarding and reporting.
Microsoft Fabric for analytics and integration tasks.
Spark Streaming for processing real-time data streams.
Familiarity with Azure Resource Manager (ARM) templates for infrastructure as code (IaC) practices.

Experience

Demonstrated expertise of 8+ years in developing data ingestion and transformation pipelines using Databricks/Synapse notebooks and Azure Data Factory.
Solid understanding and hands-on experience with Delta tables, Delta Lake, and Azure Data Lake Storage Gen2.
Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation.
Proficiency in building and optimizing query layers using Databricks SQL.
Demonstrated experience integrating Databricks with Azure Synapse, ADLS Gen2, and Power BI for end-to-end analytics solutions.
Prior experience in developing, optimizing, and deploying Power BI reports.
Familiarity with modern CI/CD practices, especially in the context of Databricks and cloud-native solutions.

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Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract