Technology Lead - Data Modeler jobs in Charlotte for -1 to -1 years experience

Technology Lead - Data Modeler

Primary Skills: metadata data architecture experience deliverables building research cloud proof etl validation jira global delivery software development methodologies solutions testing data modeler dimensional modeling application architecture quality data models impact analysis insurance domain core financial services domain managing position sdlc support digital skills migration projects relational modeling code data management technical enterprise
Secondary Skills: data warehousing learning agile development stakeholders banking coding computer diversity continuous improvement lean systems high level design responsible client email physical data model innovation business consulting data modelling change implementation multiple team player lead transition performance teamwork written communication collaboration best practices information requirements elicitation travel customer
Job Location: Charlotte, North Carolina
Posted Date: Posted today

Required Qualifications:

Bachelor s Degree or foreign equivalent, will consider work experience in lieu of a degree
4+ years of experience with Information Technology
3+ years of development experience in creating Logical and Physical Data model and understanding of the Source systems in Insurance Domain.
Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data
Should be self-driven, innovative and research oriented, develops solutions tailored to addressing specific problems/ needs
Should be able to identify the client / market needs and propose impactful solutions
Should have very good understanding of SDLC, data modelling and data management
Should be adapt in agile execution methodologies
Should be a good team player and possess capability to lead a team of data modelers
Participates in proof of concept executions, architecture discussions and validates complex technical solution when required
Experience with Lean / Agile development methodologies

Preferred Qualifications:

At least 4 years of experience in software development life cycle
At least 3 years of experience in Project life cycle activities on creating Data Models
Understanding of the Source systems in Banking and Financial Services domain and data architecture
Expertise in impact analysis due to changes or issues
Analyzing and translating business needs into long-term solution data models.
Evaluating existing data systems
Should be aware of best practices specific to Insurance
Working with the development team to create conceptual data models and data flows.
Developing best practices for data coding to ensure consistency within the system.
Implementing data strategies and developing physical data models.
Updating and optimizing local and metadata models.
Evaluating implemented data systems for variances, discrepancies, and efficiency.
Troubleshooting and optimizing data systems
Experience with Jira & Confluence
Prior experience with migration projects from on premise to cloud would be a plus
Ability to work in team in diverse/ multiple stakeholder environment
Excellent verbal and written communication skills
Experience and desire to work in a Global delivery environment

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