Big Data & Analytics Architect
krg technology inc Open · verified Oct 24, 2026 At a glance
Mid-level Data Analysis & BI role at krg technology inc. Bethesda · full-time · no salary stated · we estimate $86,500–$135,038 across the United States.
krg technology inc has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Design and build large-scale systems for processing, storing and distributing data
- Guide data solutions through their full lifecycle with customer stakeholders and cross-functional teams
- Shape data models and database designs across warehousing, BI, relational, MPP or Hadoop systems
- Administer distributed platforms and handle configuration, monitoring and performance tuning
- Set technical direction by making architecture choices and applying hands-on engineering
What you bring
- You bring fifteen to eighteen years designing and delivering large-scale data systems
- You have substantial experience modeling data and designing databases across the listed platform types
- You can lead full-lifecycle data work with technical teams and customer stakeholders
Who this fits
This role suits a senior data architect with hands-on engineering skills, strong problem-solving ability and clear communication. The position is onsite in Bethesda.
From the employer
Vignesh
KRG Technologies Inc.
25000 | Avenue Stanford | Suite 120 | Valencia, CA 91355
Direct Phone: (661) 367 8000 Ext.405 | Email: vignesh.c @ krgtech.com
• 15 - 18 years of experience in designing, architecting and implementing large scale data processing/data storage/data distribution systems
• Extensive experience working with large data sets with hands-on technology skills to design and build robust Data & Analytics solutions
• Ability to work with a multi-technology/cross-functional teams and customer stakeholders to guide/managing a full life-cycle of a Data (including Big Data) solution
• Extensive experience in data modeling and database design involving any combination of -
• Data warehousing and Business Intelligence systems and tools
• Relational and MPP database platforms like Netezza, Teradata
• Open source Hadoop stack
• Hands-on administration, configuration management, monitoring, performance tuning of Hadoop/Distributed platforms
• Strong understanding of Data & Analytics Analytics platforms and ETL in the context of Data & Analytics
• Ability to frame architectural decisions, provide technology leadership & direction
• Excellent problem solving, hands-on engineering skills and communication skills
All your information will be kept confidential according to EEO guidelines.
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