Data Engineer/Data Architect

2 months ago


Charlotte, United States Optomi Full time

Job Summary

Optomi is partnering with a client in the financial services industry. We are looking for a candidate that has a background in data engineering with the desire to grow in the architecture space. This candidate will enjoy a split of work between data engineering and data architecture, while learning from senior data architects.


Roles/Responsibilities

  • Develop data integration architectures and establish architecture standards & guidelines (including architecture and design patterns).
  • Define deployment topology in collaboration with colleagues across the technology organization.
  • Optimize the utilization of relevant Platform and technologies.
  • Collaborate with Business and delivery partners to comprehend future requirements and their architectural implications.
  • Identify alternative architecture solutions that align with business needs and assess new technologies.
  • Research and assess new technologies and tools to support architecture(s) and formulate architectural roadmaps.
  • Promote early adoption of tools and architectural practices throughout the organization.
  • Review solutions and projects to ensure adherence to established methodologies in data and analytics.

Primary Skills:

  • 2 to 4 years of experience in IT and business/industry development.
  • Familiarity with data standards (including security, ingestion, warehousing, storage).
  • Proven track record in design, architecture, and development using AWS Cloud technologies.
  • Experience with AWS services such as Analytics, Application Integration, Compute, Database, and Serverless.
  • Proficiency with Snowflake.
  • Ability to collaborate effectively with Agile teams to recommend appropriate architectures following high-quality software methodologies.
  • Strong communication skills.

Nice to Have:

  • Experience with one or more data integration technologies (e.g., Matillion, Pentaho, Datastage).
  • Knowledge of APIs, Apigee, Developer Portals, JSON, RESTful services, and related technologies.
  • Expertise in R, Python, and predictive analytics.


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