| Sr Data Architect || C2C || Day 1 Onsite || Rosemont, Illinois || 3 Days WFH & 2 Days Onsite at Day, New York, USA |
| Email: [email protected] |
| From: Chanchal Singh Chauhan, Veridiant tech solutions [email protected] Reply to: [email protected] Hi, We have an urgent requirement of Sr Data Architect at Rosemont, Illinois. Title Sr Enterprise Data Architect Location Rosemont, Illinois (Hybrid) Education, Certification(s), and Experience College diploma or university degree in computer science, information systems, or computer engineering. Certifications in Azure Data track. 10+ years of work experience as a Data or Information Architect. Knowledge, Skills, and Abilities Core Qualifications (Required) Hands-on experience with data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis. Direct experience in implementing enterprise data management processes, procedures, and decision support. Strong understanding of relational data structures, theories, principles, and practices. Strong familiarity with metadata management and associated processes. Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools. Demonstrated expertise with repository creation, and data and information system life cycle methodologies. Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on. Ability to manage data and metadata migration. Strong experience with database platforms, including Azure SQL Server, Azure Cosmos DB, Azure Event Hub. Understanding of Web services (SOAP, XML, UDDI, WSDL). Good working knowledge of Object-oriented programming (e.g., using Java, J2EE, EJB, .NET, WebSphere, etc.). Excellent client/user interaction skills to determine requirements and present ideas in user-friendly language. Working knowledge of network, PC, and platform operating systems, including Azure IaaS, PaaS, SaaS. Working technical knowledge of current systems software, protocols, and standards, including Data Warehouse standards. Experience with data processing flowcharting techniques. Proven project management experience. Good knowledge of applicable data privacy practices and laws. Strong written and oral communication skills. Strong presentation and interpersonal skills. Preferred Qualifications (Nice to have) Experience with Life Insurance and Annuity data terminologies. Experience in the area of Finance and Accounting such as General Ledgers and ERPs. Experience with Azure DevOps, MS Teams, and other productivity tools. Experience doing integrations with Firelight, Jakentra and any Underwriting products. In-depth knowledge of and proven cloud experience with multi-cloud solutions and hybrid business intelligence stacks. WHAT YOU'LL DO: Job Responsibilities: Strategy & Planning Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders. Be the leader of innovation in developing new data architecture models, data integration patterns and methods, multidimensional view of the data, predictive analysis, and reporting. Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap. Establish processes for governing the identification, collection, and use of corporate metadata: take steps to assure metadata accuracy and validity. Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement. Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. Ensure that data strategies and architectures are in regulatory compliance. Acquisition & Deployment Ensure the success of enterprise-level application rollouts (e.g., ERP, SCM, CRM, SAP, PeopleSoft, etc.). Liaise with vendors and service providers to select the products or services that best meet company goals . Operational Management Assess and determine governance, stewardship, and frameworks for managing data across the organization. Develop and promote data management methodologies and standards. Select and implement the appropriate tools, software, applications, and systems to support data technology goals. Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. Collaborate with project managers and business unit leaders for all projects involving enterprise data. Address data-related problems regarding systems integration, compatibility, and multiple[1]platform integration. Act as a leader and advocate of data management, including coaching, training, and career development to staff. Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture. Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture. Identify and develop opportunities for data reuse, migration, or retirement. Travel may be required. Thanks & Regards, Chanchal Singh Chauhan Technical Recruiter Veridian Tech Solutions, Inc Certified by WOSB, WBENC, HUB 832-237-9272 | EXT.- 159 [email protected] www.veridiants.com 11931 Wick Chester Lane Suite 150 Houston, TX, 77043 Keywords: database |
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| Mon Jan 02 18:41:00 UTC 2023 |