Big Data Architect
krg technology inc Open · verified Oct 24, 2026 On-site Bethesda Contract Mid-level Data Engineering
At a glance
Mid-level Data Engineering role at krg technology inc. Bethesda · contract.
Pay not stated Data Engineering salary
RoleData Engineering
SeniorityMid-level
LocationBethesda
WorkplaceOn-site
EmploymentContract
PostedOct 20, 2016 · 10y ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Design and build systems that process, store and distribute large volumes of data
- Bring Hadoop solutions through their full lifecycle, working with technical teams and customer stakeholders
- Set up and tune distributed platforms, including administration, configuration, monitoring and performance
- Shape data models and database designs across warehousing, business intelligence and database platforms
- Code and review modules while guiding technical choices and engineering direction
What you bring
- You have twelve to fifteen years designing and delivering large-scale data systems
- You have taken Big Data technologies into production and can build solutions hands-on
- You bring deep Hadoop platform skills, including administration, monitoring and performance tuning
- You have designed data models and databases across warehousing, BI, relational or MPP platforms
Who this fits
This contract role suits a senior hands-on architect who can both guide technical direction and independently code and review modules. The position is onsite in Bethesda, Maryland.
From the employer
Ajith
KRG Technologies Inc
ajith at krgtech.com
661-367-8000 EXT 310
Job Title: Big Data Architect
Location: Bethesda, MD
Duration: Contract
Job Description:
Professional Experience Required
- 12-15 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 Big Data solutions
- Experience having deployed BigData technologies to production
- Ability to work with a multi-technology/cross-functional teams and customer stakeholders to guide/managing a full life-cycle of a Hadoop 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 Big Data Analytics platforms and ETL in the context of Big Data
- Ability to frame architectural decisions, provide technology leadership & direction
- Excellent problem solving, hands-on engineering skills and communication skills
Professional Experience Preferred
- Understanding of Lambda design architectures are Real-Time streaming
- Knowledge/experience of cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce, Azure)
- Considerable understanding and experience of real-time analytics
- Should be willing to independently code & review modules are required ( Role not at solution architecture level only)
Technical Skills Required
Any combination of below technical skills
- Big Data : HDFS, MapReduce, Hive, Hbase, Pig, Mahout, Avro, Oozie
- Processing & Streaming : Spark, Strom, Samza, Kafka
- NoSQL : Cassandra, MongoDB, Hbase
- Appliances : Teradata, Netezza, Greenplum, Aster Data, Vertica
- Languages : Java, Scala, Linux, Apache, Perl/Python/PHP
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