Job Title: MDM Informatica Architect with Collibra Duration: Contract to Hire Location: Washington, D.C (Hybrid) Job Description: Role: MDM Informatica Architect with Collibra exp. Exp Range: 14+ years Location: Washington, D.C ( Candidate will have to go to client office 3-4 days in a week ). Candidate with 12+ Years of experience in Informatica MDM 3+ years of hands-on experience as Informative MDM 4 Years’ experience Data Warehousing, Data Marts, Data Mining and related components, concepts, and softwareFacilitates solution design discussions.Hands on experience in Data Governance tool Collibra Ability to develop and deliver solutions.Assists with evaluation and recommendations regarding purchased software packages, hardware platforms and supporting services.Develops the architectural design for Master Data Management domain development, base object integration to other systems and general solutions as related to Master Data ManagementPerforms architectural planning, MDM data modelling, proof-of-concept, and development.Defines and implements standards, shared components and approaches for projects and the Enterprise.Collaborate with Data Quality & Governance Analyst and Data Governance Organization to assist with the monitoring and preservation of the quality of the master data.UNIX and Linux platforms and Shell scripts If you are interested, please forward your resume to vijay.singh@net2source.com. You can also reach me at +1 201-322-2651.

JD :Application Architect, solutioning and Designing of Application.Azure Data Services Platform Experience in the last few years.ADF, ADLS, Azure Data Lake Storage, Azure SQL, Azure Data bricks, Azure Function Apps, Logic Apps, Azure Monitoring.Expertise in Language, Python or Nodejs and React.js.Good to have, DevOps concepts, CICD pipeline, terraform .

Role: MDM ArchitectDuration: FTCLocation: London, UKDomain: Banking (Must have) Job Description: <ul><li>Design Customer/Party MDM Solutions</li><li>Understanding of Market leading MDM Platform with comparative view of capability/offerings/limitations & Accuracy</li><li>Understanding of Out of box AI/Ml solutions of COTS products and their limitations</li><li>Design to address MDM limitations</li><li>Setup Single Global Customer ID for historic customer where Multiple Customer ID’s generated with LOB due to silos operations of Retails, Wholesale Businesses</li><li>Design Integrated Ecosystems (CRM, KYC, Screening, Third Party) with Customer MDM/Customer 360</li><li>Define integration patterns of Surrounding systems with MDM</li><li>Understanding of Customer Screening and KYC requirements from Banking perspective</li><li>Conduct MVP/POC</li></ul> Qualifying Criteria <ul><li>Experience in Architecting Data & Analytics Platforms</li><li>Experience in Banking MDM implementation with atleast 2 implementation experience</li><li>Experience in Data Governance Solutions</li><li>Must Have strong understanding of Banking Regulations & their applicability for Data & Analytics Platforms</li><li>Experience with Relational Databases like Oracle, NoSQL Databases and/or Big Data technologies (e.g. Oracle, SQL Server, Postgres, Spark, Hadoop, other Open Source).</li><li>Must have experience in Data Security Solutions (Identity and Access Management and Data Security Access Management)</li><li>Must have experience of DevOps (CI/CD)</li><li>Certifications - MDM Certified (MDM certification is preferred, someone with certification will have higher chances of consideration)</li><li>Must have experience with SLCD (Agile/Waterfall). Drive the architecture of a project, including authoring functional and design specifications, scalability, testing, quality data flow, and interface.</li><li>Ability to Lead and Manage team and Interact with End users clients.</li><li>Worked in Onsite/ Offshore model.</li><li>Demonstrated excellent communication, presentation, and problem-solving skills.</li><li>Experience in project governance and enterprise customer management</li></ul>

Role: Data ArchitectDuration: FTELocation: London, UK Role Expectations<ul><li>Define all architecture patterns Data Mesh Data Fabric EventHub etc</li><li>Define each architecture pattern Data Analytics Platform Functional Blueprint Logical Layers and Each layer Capabilities</li><li>Identify All Ingestion Patterns Real Time Batch Structured Unstructured Images PDF for each data analytics platform</li><li>Analyze existing Data Analytics Platform Architecture Playbook Identify Gaps and Enrich Playbook</li><li>Guided Tooling Framework Scorecard-based approach</li><li>Potential Engineering Frameworks Structured Semi-Structure</li><li>Define Intake Frameworks Unstructured – OCR Intake</li><li>Data Governance Capabilities Framework Integration with rest of Ecosystems</li><li>Design Recommend Data Traceability Lineage DQ Reconciliation and Observability Platform</li><li>Understanding of Cloud GCP AWS Services Offering</li><li>Deep Understanding of Banking Regulations and solution required to adopt them in Hybrid Cloud Ecosystem</li></ul> Qualifying Criteria <ul><li>Must have Experience in Architecting Data Analytics Platforms like Cloud Big Data EDW’s</li><li>Must have experience in Data Governance Solutions Metadata Management Data Quality Data Lineage Data Catalogue</li><li>Must have 5 solution experience in Reporting Visualization Platform Modernization Canned Self Service and Real-Time Reporting</li><li>Experience in Cloud Migration Solution Proposals includes Migration Strategy FinOps Cloud Governance</li><li>Experience with Relational Databases like Oracle NoSQL Databases and or Big Data technologies e g Oracle SQL Server Postgres Spark Hadoop other Open Source</li><li>Must have experience in Data Security Solutions Identity and Access Management and Data Security Access Management</li><li>experience of DevOps CI CD</li></ul>Certifications <ul><li>Minimum At least One Certification of AWS or GCP or Azure (AWS certification is preferred, someone with certification will have higher chances of consideration)</li><li>Good to have knowledge of Banking data modeling</li><li>Must have experience with SLCD Agile Waterfall Drive the architecture of a project including authoring functional and design specifications scalability testing quality data flow and interface</li><li>Ability to Lead and Manage team and Interact with End users clients</li><li>Worked in Onsite Offshore model</li><li>Demonstrated excellent communication presentation and problem-solving skills</li><li>Experience in project governance and enterprise customer management</li></ul>

Job Title: Data ArchitectLocation: Toronto, ON (Hybrid onsite from day 1) Type: Contract PRIMARY SKILL: AWS Glue, Kafka, Redshift/Postgres, RDBMS/Data warehousing SECONDARY SKILL: Power BI, REST APIs Relevant experience: Overall 10+ years of experience in SAP data management, data quality assurance, data extraction from legacy systems. Detailed JD:<ul><li>Hands-on Data Architect - to provide guidance to the team - does design, coding or configuring tools as required. Also provides oversight as the senior person & on-shore - direct client dealing, status-reporting. Fills any gaps in DEV. </li><li>Creating data models that specify how data is formatted, stored, and retrieved inside an organization. </li><li>This comprises data models that are conceptual, logical, and physical. </li><li>Creating and optimizing databases, including the selection of appropriate database management systems (DBMS) and the standardisation and indexing of data. </li><li>Creating and maintaining data integration processes, ETL (Extract, Transform, Load) workflows, and data pipelines to seamlessly transport data between systems. </li><li>Collaborating with business analysts, data scientists, and other stakeholders to understand data requirements and align architecture with business objectives. </li><li>Stay current with industry trends, best practices, and advancements in data management through continuous learning and professional development. </li><li>The architects should be fluent in explaining the master data templates to the process and tech teams in order to get the field mapping and data fields sacrosanct with the current ERP in to SAP S/4 HANA </li><li>They should validate the master data quality and fitment into S/4 templates, provide expertise in reducing time to map the data templates, assistance in deriving the field values and reducing time to generate new values which does not exist in the current ERP </li><li>The architects should train the internal IT team on the master data field mapping, upload tools</li></ul>

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