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Senior Data Engineer

4 months ago

Chicago, United States IT Associates Full time

Cloud Data Architect / Sr. Cloud Data Engineer ( Hands-On Role )

  • Direct Hire / Fulltime / Permanent
  • Full Benefits + Bonus
  • Hybrid in Ann Arbor, MI- 2 days/week
  • Multi-Million Dollar E-commerce client
  • Open to all. Client is open for Visa transfer and will provide relocation assistance.


As a Cloud Data Solutions Architect focused on Data Solutions and Data Management, your primary responsibility will be to ensure building a scalable, secure and efficient data platform / Lakehouse with Azure / Databricks. The role is a senior level technical role that will be accountable for the end-to-end cloud data management solution. The ideal candidate will have experience in large scale modern data warehouse development and have success leading cross-team technical discussions that drive key decisions and implementation. The cloud data solutions architect would partner with Digital/AI/ML Architects and teams to define data activation frameworks.


Key areas of focus -

  • Data transformation
  • Cloud migration
  • Rolling out governance
  • Databricks at platform (or similar)

Hands on - framework, POC, white boarding, helping out developers, sitting with business users, transfer info into biz requirements. Marketing data related experience (huge plus)


Qualification:

  • Experience with multiple full life-cycle data warehouse / transformation implementations in public cloud.
  • Deep Technical knowledge of 1 public cloud services ( Azure preferred but OK with AWS or GCP as well).
  • 3-5 years of experience in architecting data. Experience with AI solution is a plus.
  • Deep understanding of data architectures that utilize Data Lakehouse / Data Mesh
  • Demonstrated ability to quickly research, learn, adopt, and apply new technologies.
  • Proven experience with creating efficient (Cost/Performance) architectures that conform to functional/SLA needs.
  • Strong SQL and database skills working with large structured and unstructured data.
  • Strong familiarity with enterprise reporting solutions (PowerBI, Qlik, Tableau), data virtualization and semantic modeling
  • Expertise with solution development using No-SQL data platforms.
  • System development lifecycle (SDLC), Agile Development, DevSecOps, and common software development tools such as Git and Jira
  • Strong written and oral communication skills to convey key choices, recommendations, and technology concepts to technical and non-technical audiences.
  • Infrastructure as Code (IaC) technologies such as Azure Resource Manager (ARM) or Terraform
  • Familiarity with Docker, and docker orchestration like Docker Compose or Kubernetes
  • Familiarity with AI/MLOps concepts


General Responsibilities:

  • Work with clients to understand their business needs and develop technical requirements for cloud-based data solutions.
  • Design and implement logical and physical data models that are appropriate for the chosen cloud and/or hybrid data warehouse environment.
  • Implement data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data.
  • Participate in the definition of future data management / governance architecture, with alignment to value creation opportunities across the business.
  • Conduct complex technology and system assessments for architecture solutions.
  • Communicate the companywide Architecture strategy and direction to both management and systems related teams
  • Stay current with new and emerging technologies and make recommendations on their adoption.
  • Understand compliance and risk management requirements for supported areas
  • Ensure applications adhere to established client standards, policies, methodologies, and industry best practices.
  • Partner with architects across Data Science and Digital organizations to create data activation frameworks supporting real time (or near real time) needs.