Role : Lead Data Engineer/Architect

Location : Hybrid locations:

Florida - Jacksonville 32256

Missouri - St. Louis 63131

Ohio - Columbus 43231

South Carolina - Greenville 29615

W2 role

Required experience below:

• 12 year of IT Experience
• Must have longer job history – not 6 month, 1 year projects back to back.
• 7 years - Data Engineer / Architect - across enterprise with Azure
• Build platform, data lakes, stores in Azure, MongoDB
• Data Flow Diagrams, Data Models
• Reports directly to CIO, Senior level role, no direct reports
• Working across entire enterprise, Involved in all phases - Design, Build, Support (minimal)
• Bachelor's Degree (Required)
• Azure Data Engineer Associate Certification (Certs provide Dates)

The Lead Data Engineer/Architect plays a leading role designing and running multiple data platforms across the enterprise. This is a 'hands on' role and is responsible for leading the transformation and execution of data solutions from disparate legacy systems to modern cloud-based solutions with a focus on enterprise data management. This position leverages cloud-based (Azure) infrastructure to implement technology solutions that are scalable, resilient, and efficient. This role collaborates with Technology Product Owners, Solution Architects, DBAs, and other cross-functional teams and business leaders. In addition, the Lead Data Engineer/Architect will plan, design, implement and

operate data solutions, using an Agile methodology.

PRINCIPAL RESPONSIBILITIES AND DUTIES:

* Leads the development of future state data architecture designs, standards, guidelines, and principles.

* Works with Technology Product Owners to understand functional requirements and interact with other cross-functional teams to architect data solutions.

* Executes design sessions to gather requirements, review, approve, and communicate design artifacts with stakeholders.

* Utilizes Microsoft Azure technologies to solve business problems with a focus on enterprise data management.

* Designs and manages data models associated with Relational DBs and optionally NoSQL DBs (Azure Cosmos, MongoDB, etc.).

* Designs, implements, and maintains database solutions, manages data access, and resolves database performance, capacity, and security issues.

* Performs problem-solving of application issues and production errors, including high level critical production issues that require immediate attention.

* Develops Data Flow Diagrams (DFDs), Data Dictionaries, and database schemas with a focus on enterprise data management.

* Designs and codes SQL queries and maintenance of SSIS packages.

* Participates in an on-call support rotation and provide non-standard work hour support

* Participates in brainstorming and discussion sessions to help development teams better understand and utilize data technologies.

* Performs other duties as needed or assigned.

SKILLS AND ABILITIES REQUIRED:

* Experience with API code integrations with external vendors to push/pull data.

* Experience with SQL Server and Microservices.

* Ability to create and maintain organized technical documentation.

* Advanced organizational skills with the ability to manage multiple assignments.

* Strong interpersonal, written, and verbal communication and presentation skills.

* Reasoning ability to solve practical problems and deal with a variety of variables in many different situations.

* Experience with Azure Cloud Technologies including a track record of learning new technologies and architecting them to solve business problems.

* Demonstrated commitment to continuous learning within the enterprise architecture field.

MINIMUM LEVEL OF PREPARATION AND TRAINING NORMALLY REQUIRED:

* Bachelor's Degree preferably in Computer Science, Information Technology, or related IT discipline or equivalent experience.

* 7 years of experience developing Data Flow Diagrams, Data Models, and Data Architectures both on-prem and in the cloud, with at least 3-5 years utilizing Microsoft Azure.

* 5-7 years of experience designing and supporting Azure hosted data services.

* Successful completion of the Microsoft Azure Data Engineer Associate Certification. Additional Azure Certifications and/or Exams are preferred.

* 3-5 years of experience working in a multi-business unit organization.

* Financial services industry experience is a plus.