Sr. Data Solutions Engineer/Database Architect
Must reside in North Carolina and can report on-site at short notice

The Sr. Data Solutions Engineer is a senior level resource that will serve as the Database Architect for the Modernization initiatives. This role will aid in the development of a new cloud environment by assisting the Modernization Team with the design, management, and maintenance of data flow as it pertains to cloud technology. Additionally, this role will also be responsible for data analysis, data profiling, data cleansing, data governance, in preparation for data conversion of the existing environment. The ideal candidate will be able to develop & maintain cloud data strategy, evaluate data elements and structure, and ensure the smooth integration of data internal and external to cloud initiatives. This position will direct a team two database programmers to complete the data analysis. Additionally, the position will assist in a leadership role:

• Execution of cloud design and implementation strategies.
• Evaluation and selection of the appropriate data frameworks.
• Establishment of standards, best practices for data conversion, data mapping, data cleansing, and data migration as it evolves from legacy to cloud-based technologies.
• Design of system integration containing database permissions, keys, and access for authorized data usage and reporting.
• Process Instruction of infrastructure movement techniques and data transfers using multiple ETL/ELT sources.
• Responding to technical issues timely and effectively.
• Leading and solicit database programmers, application teams, security, and infrastructure teams to monitor cloud privacy, performance, and load.
• Capturing lessons learned and transitional knowledge to assist the Leadership Team in establishing a mentoring path that provides technical exposure and develops the next generation of DIT leaders and technical staff.

Experience:

• Database design: 10 years (Required)
• SQL: 10 years (Preferred)
• Db2: 10 years (Required)
• Database Conversion, Cleansing, Migration: 10 years (Required)
• Database back up, maintaining table partitions: 5 years (Required)
• SDLC: 10 years (Required

ADDITIONAL ROLES AND RESPONSIBILITIES:

The Sr. Data Solutions Engineer position will also serve in a lead role in the application support team’s quality assurance for operations and maintenance initiatives. The resource will serve as Subject Matter Expert (SME) with the following expected responsibilities:

• Lead the design of data conversion, cleansing, migration, and frameworks while ensuring security and data integrity.
• Design and enforce policies based on Data Quality, Data Security, Data retention, Data Stewardship.
• Document the data model & data mapping, create a data dictionary, define columns and data relationships.
• Maintain the end-to-end vision of the data flow diagram and develop logical data models into physical data repositories.
• Use data cleansing & governance tools to administer, manage and script database functions based on user inputs and data quality principles.
• Design and deliver Data integration solutions based on current DB2 and future Microsoft SQL Server systems.
• Identify project impacts on Business Process Models for our business stakeholders as it relates to Software Development Lifecycle methodology.
• Coordinate with all other solution architects to assist the Enterprise Services Team with the delivery of software solutions.

SkillsRequired / DesiredExperienceDatabase DesignRequired10 YearsSQL Server, DB2 experience.Required10 YearsDatabase back up, maintaining table partitionsRequired5 YearsDatabase Conversion, Cleansing, MigrationRequired10 YearsApplication development or application support or application testing or a combination of those experiences.Required10 YearsSoftware development lifecycle methodologiesRequired10 YearsAbility to create and maintain required documentation. This includes documenting customer requirements, design flows and systems flow.Required10 YearsLeading or Supervising an IT TeamRequired5 YearsWritten and verbal communications are clear, concise and achieve intended objectivesRequired10 YearsProblem Diagnosis skills [i.e., discovery, replication, troubleshooting, resolution, verification, communication and/or escalation as required]Required10 YearsExperience with writing test cases, executing those cases and leading technical trainingRequired10 YearsBS/BA degree in Computer Science, Information Technology, Computer Engineering; MS degree in Computer Science or equivalent or an MBARequired5 YearsMS Azure or MS Cloud certificationDesired2 YearsSQL Server SSIS management and/or frameworkDesired2 YearsParquet text maintenance knowledgeDesired2 YearsMust reside in North Carolina and can report on-site at short noticeRequired
Job Type: Contract
Pay: $80.00 - $95.00 per hour
Expected hours: 40 per week

Experience:

• Database design: 10 years (Required)
• SQL: 10 years (Preferred)
• Db2: 10 years (Required)
• Database Conversion, Cleansing, Migration: 10 years (Required)
• Database back up, maintaining table partitions: 5 years (Required)
• SDLC: 10 years (Required)

Location:

• Raleigh, NC 27610 (Required)

Ability to Commute:

• Raleigh, NC 27610 (Required)

Work Location: In perso

The Sr. Data Solutions Engineer is a senior level resource that will serve as the Database Architect for the Modernization initiatives. This role will aid in the development of a new cloud environment by assisting the Modernization Team with the design, management, and maintenance of data flow as it pertains to cloud technology. Additionally, this role will also be responsible for data analysis, data profiling, data cleansing, data governance, in preparation for data conversion of the existing environment. The ideal candidate will be able to develop & maintain cloud data strategy, evaluate data elements and structure, and ensure the smooth integration of data internal and external to cloud initiatives. This position will direct a team two database programmers to complete the data analysis. Additionally, the position will assist in a leadership role:

• Execution of cloud design and implementation strategies.
• Evaluation and selection of the appropriate data frameworks.
• Establishment of standards, best practices for data conversion, data mapping, data cleansing, and data migration as it evolves from legacy to cloud-based technologies.
• Design of system integration containing database permissions, keys, and access for authorized data usage and reporting.
• Process Instruction of infrastructure movement techniques and data transfers using multiple ETL/ELT sources.
• Responding to technical issues timely and effectively.
• Leading and solicit database programmers, application teams, security, and infrastructure teams to monitor cloud privacy, performance, and load.
• Capturing lessons learned and transitional knowledge to assist the Leadership Team in establishing a mentoring path that provides technical exposure and develops the next generation of DIT leaders and technical staff