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Big Data Solutions Architect and Client: Stater Bros and Rate: and : San Berdan

Job in San Bernardino, San Bernardino County, California, 92409, USA
Listing for: NFOLKS LLC
Full Time position
Listed on 2026-06-27
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 130 USD Hourly USD 130.00 HOUR
Job Description & How to Apply Below
Position: Big Data Solutions Architect and Client: Stater Bros and Rate: $130/hr and Location: San Berdan[...]

Big Data Solutions Architect

Client:
Stater Bros | Rate: $130/hr |

Location:

San Benedetto, CA | Duration: 6+ months

Full-time. Local candidate preferred or ability to relocate.

Job Description

Building and designing enterprise Big Data solutions, consulting with stakeholders, presenting technical architecture to executive audiences, and driving innovation through proof‑of‑concept initiatives.

General Experience
  • 10+ years of experience designing solution architectures for enterprise Big Data solutions
  • 3+ years of experience in technology consulting (preferred)
  • CPG/Retail domain experience preferred
  • Working with all organizational levels to understand requirements and provide thought leadership related to Big Data solutions
  • Ability to facilitate, guide, and influence decision makers and stakeholders toward the proper IT architecture
  • Ability to create presentation materials and simplify complex ideas
  • Ability to present technology architecture and solution overviews to executive audiences
  • Drive innovations through hands‑on proof‑of‑concepts and prototypes to illustrate approaches to technology and business problems
Functional Experience
  • Full Software Development Life Cycle (SDLC) of Big Data solutions
  • Experience with data integration and streaming technologies for EDW and Hadoop
  • Data modeling and database design
  • Data warehousing and Business Intelligence systems and tools
  • Open‑source Hadoop stack
  • Administration, configuration, monitoring, and performance tuning of Hadoop/Distributed platforms
  • Big Data and real‑time analytics platforms
  • Migration of legacy data warehouse to Data Lake
  • Develop guidelines, standards, and processes to ensure the highest data quality and integrity
  • Understanding of CI/CD in relation to Big Data platforms
  • Knowledge/experience of cloud computing infrastructure (e.g., Amazon Web Services EC2, Elastic Map Reduce, Azure)
Combination of Technical Skills
  • Hadoop (HDFS, Map Reduce, Hive, HBase, Pig, Spark)
  • Cloudera, Hortonworks, MapR
  • Git, Nexus
  • Kafka, Flume, Storm
Education
  • Bachelor's degree in Computer Science or related field (preferred)
  • Master's degree in related field (preferred)
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