Technical Architect-Data Analytics

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 60,000 - 100,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX is hiring a Technical Architect-Data Analytics. The role involves handling big data technologies, cloud computing projects, and managing architecture documentation. Ideal candidates will possess over 12 years of IT experience with strong expertise in Azure Databricks and data lakes.

The position offers a competitive hourly rate based on experience and the potential for contract extension. Join a company committed to equal opportunity and a diverse work environment.

Qualifications

• At least 12 years of experience in IT, with 5 years in data analytics.
• Proficient in Azure services like Azure Data Lake and Azure Synapse.
• Good understanding of data warehousing and data lakes.

Responsibilities

• Understand business requirements and define project scope.
• Document architecture processes to ensure compliance.
• Drive innovation by staying updated with Databricks developments.

Skills

Data analytics project experience

Azure Databricks notebook development

SQL skills

ETL/ELT processes

CI/CD pipelines

Tools

Azure Data Factory

Power BI

Delta Lake

Spark Streaming

Job description

Job Overview

Job ID: J52782

Job Title: Technical Architect-Data Analytics

Location: Dallas, TX

Duration: 12 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

Responsibilities

1. The ideal candidate will have a good understanding of big data technologies, data engineering, and cloud computing DWH projects with a focus on Azure Databricks.
2. Work closely with business stakeholders and other IT teams to understand requirements and define the scope for engagement within a reasonable timeline.
3. Ensure proper documentation of architecture processes while ensuring compliance with security and governance standards.
4. Ensure best practices are followed by the team in terms of code quality, data security, and scalability.
5. Stay updated with the latest developments in Databricks and associated technologies to drive innovation.
6. Maintain a positive attitude and excellent communication skills to manage customer calls; possess strong problem‑solving skills, good communication, and team collaboration.

Essential Skills

• Overall 12 years of experience, including 5 years of data analytics project experience.
• Experience with Azure Databricks notebook development and Delta Lake.
• Good understanding of Azure services such as Azure Data Lake, Azure Synapse, and Azure Data Factory Fabric.
• Experience with ETL/ELT processes, data warehousing, and building data lakes.
• SQL skills and familiarity with NoSQL databases.
• Experience with CI/CD pipelines and version control systems like Git.

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.

Experience

• Over 12 years of IT experience, including 4 years specializing in developing data ingestion and transformation pipelines using Databricks/Synapse notebooks and Azure Data Factory.
• Good understanding of different domain industries with respect to data analytics and DWH projects.
• Familiarity with Excel and PowerPoint.
• Experience with Delta tables, Delta Lake, and Azure Data Lake Storage Gen2.
• Experience in building and optimizing query layers using Databricks SQL.
• Familiarity with modern CI/CD practices, especially in the context of Databricks and cloud‑native solutions.

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 complies with applicable laws related to labor and employment, equal opportunity, employment eligibility requirements or related matters. MACHINE LEARNING TECHNOLOGIES LLC will not require 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.