Technical Architect-Data Analytics

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 124,000 - 193,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX seeks a Technical Architect-Data Analytics with 12+ IT years and 4 years in data pipelines using Databricks/Synapse notebooks and Azure Data Factory. Responsibilities include defining scope with stakeholders, securing governance, and driving scalable data architectures.

The role requires strong SQL, experience with Delta Lake, and hands-on Azure data services.

Qualifications

• 12+ years IT experience with 4 years in data ingestion and transformation pipelines using Databricks/Synapse notebooks and Azure Data Factory.
• Strong understanding of DWH projects and data analytics architectures.
• Experience with Azure Databricks notebook development and Delta Lake.
• Proficiency in SQL and familiarity with NoSQL databases.
• Familiarity with CI/CD practices in cloud-native solutions.

Responsibilities

• Define scope with stakeholders and plan engagement timelines.
• Document architecture processes, ensuring security and governance.
• Ensure code quality, data security, and scalability best practices.
• Stay updated with Databricks and related technologies to drive innovation.
• Lead and mentor a team of data engineers.
• Communicate effectively with nontechnical stakeholders.

Skills

Azure Databricks

Delta Lake

Azure Data Factory

ETL/ELT

SQL

NoSQL

CI/CD pipelines

Git

Databricks SQL

Azure Data Lake Storage Gen2

Tools

Power BI

Job description

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

Job description

1. 1The 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. 2Work closely with business stakeholders and other IT teams to understand requirements and define the scope for engagement with reasonable timeline
3. 3Ensure proper documentation of architecture processes while ensuring compliance with security and governance standards
4. 4Ensure best practices are followed by team in terms of code quality data security and scalability
5. 5Stay updated with the latest developments in Databricks and associated technologies to drive innovation
6. 6Positive attitude and excellent communication skills to manage customer calls Excellent problemsolving skills Good communication Team collaboration

Essential Skills

• Overall 12 years of experience along with 5 years of data Analytics project experience
• Experience with Azure Databricks notebook development and Delta Lake
• Good understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory Fabric
• Experience with ETLELT processes data warehousing and building data lakes
• SQL skills and familiarity with NoSQL databases
• Experience with CICD pipelines and version control systems like Git

Soft Skills

• Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders
• Strong problemsolving 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 realtime data streams

Experience

1. Over 12 years of IT experience including 4 years specializing in developing data ingestion and transformation pipelines using DatabricksSynapse notebooks and Azure Data Factory
2. Good understanding on different domainindustries with respect to data Analytics project DWH projects
3. Should be good in Excel and Power Point
4. Good understanding and experience with Delta tables Delta Lake and Azure Data Lake Storage Gen2
5. Experience in building and optimizing query layers using Databricks SQL
6. Familiarity with modern CICD practices especially in the context of Databricks and cloudnative 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 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