Senior Data Architect

Applied: No

Date Posted: Monday, October 9th, 2017
Job Location: Irvine, CA
Pay Rate: Market
Employment Type: Contract
Job Duration: 7 - 9 months
Required Skills: DATA ARCHITECT, AWS, CLOUD, ETL, DATA MODELING, SQL, NOSQL, MONGO, MONGODB, CASSANDRA, NEO4J, MEMCACHE, REDIS

Job Description:

Job: Sr. Data Architect

Location: Irvine, CA or Portland, OR

Type: Contract est. 6 months


Our client is looking for a Senior Data Architect with broad experience and deep technology knowledge to: inform their data architecture and storage needs/choices as they transition from separate applications to a combined suite.

Required Skills & Experience:

- Must have current hands-on experience with implementation of large database and tier-2 and tier-3 type solutions.

- Experience with designing systems with SQL or NoSQL data stores (MongoDB, Cassandra, Neo4J, Memcache, Redis)

- Knowledge and experience in designing, planning, building and deploying (release, maintenance, monitoring) solutions

- Skill at presenting complex development topics to technical personnel

- Experience and extensive knowledge of AWS or similar cloud platforms

- Excellent written and verbal communication skills

- Ability to articulate architectural differences between solution methods and the challenges and approaches to integrating solutions built on different platforms including a working knowledge of different architectural frameworks that may be used.

- Ability to lead technical discussions on data warehouse appliance technology (hardware, software, database, storage).

Responsibilities:

- Provide assistance or share best practices related to cloud-based application hosting, platform engineering and build functions covering:

- Reference architectures

- Design principles

- Environment platform specs

- Hardware and capacity details

- System configurations

- Identify, characterize/categorize various data storage sets

- Provide expertise in data storage technologies and assist in decision making including guidance on trade-offs

- Define appropriate data archival strategy and ETL tools appropriate to working at massive scale and exponentially increasing data sets

Education:

- B.S. in Computer Science or related area is preferred

Posted by:

Everest Consultants, Inc.
1500 NW Bethany Blvd.
Suite 235
Beaverton, OR 97006
http://www.everestinc.com

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