DBA/DATA Architect

Software Technology Inc.; Denver (CO); Hybrid; USD 85,000 - 120,000; Full time

Job summary

A leading software solutions provider is seeking a DBA/Data Architect to join their team in Denver. This hybrid role requires hands-on expertise in SQL, Python, and data modeling. Responsibilities include managing Azure SQL Databases, designing scalable data solutions, and ensuring data integrity. The ideal candidate should have a proactive mindset and be able to optimize data pipelines. This full-time position offers the opportunity to work closely with data scientists for data-driven decision-making.

Qualifications

• Architect level experience but should be hands-on with a proactive mindset.
• Experience in designing, building, and optimizing data processes.
• Knowledge of data security, quality, and integrity management.

Responsibilities

• Manage Azure SQL Database and optimize performance.
• Design scalable data solutions and data lakes.
• Monitor and resolve data pipeline performance issues.

Skills

Strong SQL

Python

Scala

PySpark

Experience in building data models

SSIS

Oracle DB experience

Azure Data Factory

Databricks

Job description

This is Vamshi ,from Software Technology We have a job opening with our client for position DBA/DATA Architect If you are available and looking for any new opportunities, please send me your updated resume for below position ASAP.

Job Title: DBA/DATA Architect

Location: Denver, CO (Hybrid 3 days work form office)

Duration: Full Time/Longterm Contract

Must have skills: Architect level good; but should be hands-on with proactive driver mindset (individual contributor; no team management responsibility)

Skills To Be Evaluated On

Technical Skills

• Strong SQL, Python, Scala, and PySpark.
• Experience in building data models and schema design.
• Experience with SSIS
• Oracle DB experience would be a Plus
• Design, build, and optimize data pipelines and ETL processes using Azure Data Factory and Databricks.
• Manage Azure SQL Database, including performance tuning, indexing, and query optimization.
• Design scalable data solutions, data lakes (ADLS), and data warehousing solutions.
• Ensure data security, quality, and integrity throughout the lifecycle.
• Monitor data pipelines and resolve performance issues or failures.
• Work with data scientists and analysts to support data-driven decision-making.

Thanks,

Technical Recruiter

Email: [e-mail] | Web: www.stiorg.com