Sr. Data Architect with Azure Cloud Services (Local to DMV area)

Mindlance
Washington, DC
07 Mar 2025

Vacancy expired!

Job Title: Sr. Data Architect with Azure Cloud Services

Duration: Long Term

Location: Washington, DC 20433

Hybrid Onsite: 2/3 days onsite from Day1

Must Have – • Financial Data Sets(Loan, accounting etc)• Azure Cloud Services (PaaS and Iaas)

Role & responsibility: • Develop, document, and publish

data models and solutions to meet the data, reporting and analytic requirements for financial data sets which include Resource management data , Loan, accounting other financial data sets.• Understand and analyze

data requirements and help formulate an enterprise data model Establish the conceptual data, logical data, model design, and interface design Conceive preferred future state and integrate solutions with broader technology architecture used across the organization while articulating the needs of the future Collaborate with Program Managers to create data management artifacts and offer technical advice and alternative solutions. • Develop and recommend data management policies, standards, practices and security measures to ensure effective and consistent data management operations Manage daily technical challenges and communicate to management any risks or issues.

SKILLS / EXPERIENCE REQUIRED:

• Minimum 10+ yrs. of relevant experience and master's degree plus required industry certificates; or bachelor's degree and 12+ years of relevant experience. • Proven track record in delivering

data architecture solutions with proficiency in data modeling, mapping data flows and database design.• Knowledge of established and emerging data technologies and experience with the design and implementation of enterprise-level data platforms including operational data stores, data warehouses, data mart. • Hands-on experience solutioning and implementing analytical capabilities using the

Azure Data Analytics platform including, Azure Data Factory, Azure Storage, Azure SQL Data Warehouse/Synapse, Azure Data Lake is highly preferred Experience with data migration design and implementation Experience with enterprise architecture and data modelling tools

Nitish SharmaMindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.