Data Architect

Axelon Services Corporation

  • Issaquah, WA
  • 1 day ago
  • $53 Per Hour

Highlights

Architect, design, and implement high-performance large volume data integration, transformation, warehouse, data lakes, data in cloud, and data analysis. Proficiency in data architecture design and implementation in data ingestion, management, delivery, or consumption.

Numbers & Facts

LocationIssaquah, WA
Salary$53 Per Hour

Description

Pay Rate: $85.0 per hour

Responsibilities:

  • Architect, design, and implement high-performance large volume data integration, transformation, warehouse, data lakes, data in cloud, and data analysis.
  • Design and implement cloud big data solutions using AWS, Azure, GCP, or Apache Hadoop.
  • Plan information architecture by analyzing site concept, strategy, and target audience.
  • Provide end-to-end technical guidance and roadmaps for Sales & Marketing.
  • Validate estimates from the team.
  • Establish governance, stewardship, and frameworks for managing data across the organization.
  • Develop and promote data management methodologies and standards.
  • Collaborate with project managers and business teams for all projects involving enterprise data.
  • Perform data architecture design reviews and identify opportunities for optimization.
  • Provide advice to teams facing complex technical issues in project delivery.
  • Participate in external forums and engage with customers and partners around new innovative ideas.
  • Develop collaterals for proposals and calculate estimates based on high-level designs.

Requirements:

  • Hold a certification in Architect/Big Data specialty in AWS, Azure, or GCP.
  • Proficiency in data architecture design and implementation in data ingestion, management, delivery, or consumption.

Preferred Skills:

  • Strong proficiency in understanding data, workflows, and dataflows.
  • High analytical capabilities and attention to detail.
  • Creativity in developing solutions and self-learning ability.
  • Experience with RDMSs, SQL, NoSQL databases, and cloud computing.
  • Knowledge of programming languages like Python and Java.
  • Understanding of data security and backup/archival software.

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