Big Data Architect
krg technology inc Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at krg technology inc. Fort Myers · full-time · no salary stated · we estimate $112,500–$160,000 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 big data solutions that bring enterprise information together with high-volume, fast-moving data from external sources
- Build analytics approaches for both live and offline data, drawing on multiple sources
- Develop solution concepts and explain your technical choices to technology councils or architect groups
- Take a major big data project through implementation, then tune its infrastructure
- Make engineering decisions in Agile projects and account for integration methods such as APIs, ETL and streaming
What you bring
- Hands-on work with big data platforms such as Hadoop, Spark, Hive or HBase, or experience with commercial alternatives
- A track record using NoSQL systems at scale, alongside SQL databases and analytics or OLAP platforms
- Experience with both real-time and offline analytics across multiple data sources
- You have completed a major big data implementation and later tuned its infrastructure
Who this fits
This role suits an engineer-architect comfortable shaping technical solutions and presenting decisions to architecture groups. The role is listed as onsite in Fort Myers.
From the employer
Sevagan M
KRG Technologies, Inc.,
sevagan(at)krgtech.com
25000 Avenue Stanford, Suite #243, Valencia, CA 91355
Direct : 661-367-8000 Ext : 513
⦁ Experience working in / Understanding of Big data analytics technologies
⦁ Played pivotal roles as an engineer and architect across domains
⦁ Past hands on experience with open source Big data technologies – Spark, HBase, Hadoop, MapR and Map/Reduce, Pig, Hive
⦁ OR exposure to commercial platform Big data technologies from providers such as SAS, IBM or Oracle
⦁ Clear understanding of usage and implementations at scale of NoSQL solutions like Hbase, Cassandra, MongoDB, CouchDB, and be comfortable with commercial solutions too
⦁ Expertise in SQL databases (e.g. MySQL or Oracle), Analytics platforms (e.g. Pentaho, BO or similar) and OLAP technologies
⦁ Solid technology stack in J2EE and .Net (desirable but not essential)
⦁ Solid understanding of the core R language and scripting requirements
⦁ Must have worked with solutions/projects involving both real time as well as offline analytics involving multiple sources of data
⦁ Must have some understanding of data integration technologies and methodologies (middleware, API driven, ETL tools driven, streaming etc.)
⦁ Be very comfortable with Agile methodologies in order to be able to arrive at difficult engineering decisions quickly
⦁ Must have had experience creating solutions or solution concepts and defending these with technology councils / architect groups
⦁ Worked in projects to integrate enterprise data with high volume and velocity 2nd or 3rd party data from other sources such as Social channels or 3rd party sources such DMPs or aggregators
⦁ Should have seen at least one implementation complete lifecycle implementation and subsequent infrastructure tuning for a major Big Data project
Strong Experience on Big Data, Hadoop,Pig,Hive, Hbase,Spark
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