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Lead BIA Data Architect

In United States

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Lead BIA Data Architect   

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JOB TITLE:

Lead BIA Data Architect

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

Hoboken, NJ United States

JOB DESCRIPTION:

JOB DESCRIPTION:

  • The Lead BIA Data Architect (Azure) is part of a CIS BI & Analytics team responsible for supporting data and analytics solutions for MMC Corporate Information Solutions.
  • This individual will collaborate with the analytics team to design and implement the MMC corporate data strategy, ensuring reliable data infrastructure and creating data solutions for variety of business use cases.

RESPONSIBILITIES:

  • Lead Data Architecture team in all phases of work including analysis, design and architecture to develop and implement cutting-edge solutions.
  • Own, support and aggressively drive forward CIS BIA data strategy with Azure Data Lake and Data Warehouse implementations
  • Shape corporate data architecture design patterns, principles and best practices enhancing business solution delivery.
  • Participate in development of corporate data strategy for AI/ML model development, training, deployment, operations, and compliance.
  • Work with Product Owner/Business Analysts to understand functional requirements and interact with other cross-functional teams to architect, design, develop, test, and release features.
  • Develop and maintain documentation of schemas, data flows and processes related to Azure Data Lake and data warehouse
  • Develop Proof-of-Concept projects to validate new architectures and solutions including Delta Lake and Data Lakehouse
  • Responsible for managing a growing cloud-based data ecosystem and reliability of our corporate data lake and analytics data mart
  • Contribute to the continued evolution of Corporate Analytics Platform (CAP) and integrated data model.
  • Identify gaps and weaknesses in our data stack and continue to guide learning advancements for the team
  • Negotiate and influence changes outside of the team that continuously shape and improve the data strategy

QUALIFICATIONS:

  • 10+ years of experience implementing analytics data solutions by working with and leveraging Microsoft Azure resources such as Azure Data Lake Storage, Azure Data Factory, Synapse, Data bricks, Logic Apps, Power BI and ML Studio
  • 7 years of experience in data warehousing with expert knowledge of dimensional modeling concepts and performance tuning
  • The ability to evaluate existing data models and physical databases for variances, discrepancies, and redundancies
  • The ability to independently perform data profiling and analysis to understand source data
  • An understanding of the role of data security and privacy compliance and related best practices in their implementation
  • 4 years of experience using Erwin Data Modeler R9.7 or later
  • Experience with data lineage and data cataloging tools such as Informatica EDC and Alation Data Catalog
  • Experience with data virtualization platforms such as Dremio or Denodo
  • Working knowledge and experience with Python, Scala, or R
  • Bachelor's Degree or equivalent experience in Computer Science, Information Systems, or related disciplines.

ADDITIONAL QUALIFICATIONS:

  • Strong leadership skills.
  • Excellent communication and presentation skills
  • Domain knowledge in one or more corporate functions such as HR, Finance is preferred
  • Excellent problem-solving skills with innovative thinking and proactive approach
  • Ability to recommend and implement best practices and processes
  • Experience with Microsoft AI/ML solutions
  • Experience in Agile development methodologies
  • Experience implementing Delta Lake and Data Lakehouse is preferred
  • Microsoft Azure Certifications related to Data and Analytics strongly preferred (e.g., Microsoft Certified: Azure Data Engineer DP200/201, and/or 70-467, or related MCSE)

ABOUT: Client is the world's leading professional services firm in the areas of risk, strategy, and people. The Company's 76,000 colleagues advise clients in 130 countries. With annual revenue over $17 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. Marsh advises individual and commercial clients of all sizes on insurance broking and innovative risk management solutions. Guy Carpenter develops advanced risk, reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations redefine the world of work, reshape retirement and investment outcomes, and unlock health and wellbeing for a changing workforce. Oliver Wyman serves as a critical strategic, economic and brand advisor to private sector and governmental clients.

Position Details

POSTED:

Jan 17, 2023

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S166199049951410767

LOCATION:

United States

CITY:

Hoboken, NJ

Job Origin:

OORWIN_ORGANIC_FEED

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Lead BIA Data Architect    Apply

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<p><strong>JOB DESCRIPTION:</strong></p> <ul> <li>The Lead BIA Data Architect (Azure) is part of a CIS BI & Analytics team responsible for supporting data and analytics solutions for MMC Corporate Information Solutions.</li> <li>This individual will collaborate with the analytics team to design and implement the MMC corporate data strategy, ensuring reliable data infrastructure and creating data solutions for variety of business use cases.</li> </ul> <p><strong>RESPONSIBILITIES:</strong></p> <ul> <li>Lead Data Architecture team in all phases of work including analysis, design and architecture to develop and implement cutting-edge solutions.</li> <li>Own, support and aggressively drive forward CIS BIA data strategy with Azure Data Lake and Data Warehouse implementations</li> <li>Shape corporate data architecture design patterns, principles and best practices enhancing business solution delivery.</li> <li>Participate in development of corporate data strategy for AI/ML model development, training, deployment, operations, and compliance.</li> <li>Work with Product Owner/Business Analysts to understand functional requirements and interact with other cross-functional teams to architect, design, develop, test, and release features.</li> <li>Develop and maintain documentation of schemas, data flows and processes related to Azure Data Lake and data warehouse</li> <li>Develop Proof-of-Concept projects to validate new architectures and solutions including Delta Lake and Data Lakehouse</li> <li>Responsible for managing a growing cloud-based data ecosystem and reliability of our corporate data lake and analytics data mart</li> <li>Contribute to the continued evolution of Corporate Analytics Platform (CAP) and integrated data model.</li> <li>Identify gaps and weaknesses in our data stack and continue to guide learning advancements for the team</li> <li>Negotiate and influence changes outside of the team that continuously shape and improve the data strategy</li> </ul> <p><strong>QUALIFICATIONS:</strong></p> <ul> <li>10+ years of experience implementing analytics data solutions by working with and leveraging Microsoft Azure resources such as Azure Data Lake Storage, Azure Data Factory, Synapse, Data bricks, Logic Apps, Power BI and ML Studio</li> <li>7 years of experience in data warehousing with expert knowledge of dimensional modeling concepts and performance tuning</li> <li>The ability to evaluate existing data models and physical databases for variances, discrepancies, and redundancies</li> <li>The ability to independently perform data profiling and analysis to understand source data</li> <li>An understanding of the role of data security and privacy compliance and related best practices in their implementation</li> <li>4 years of experience using Erwin Data Modeler R9.7 or later</li> <li>Experience with data lineage and data cataloging tools such as Informatica EDC and Alation Data Catalog</li> <li>Experience with data virtualization platforms such as Dremio or Denodo</li> <li>Working knowledge and experience with Python, Scala, or R</li> <li>Bachelor's Degree or equivalent experience in Computer Science, Information Systems, or related disciplines.</li> </ul> <p><strong>ADDITIONAL QUALIFICATIONS:</strong></p> <ul> <li>Strong leadership skills.</li> <li>Excellent communication and presentation skills</li> <li>Domain knowledge in one or more corporate functions such as HR, Finance is preferred</li> <li>Excellent problem-solving skills with innovative thinking and proactive approach</li> <li>Ability to recommend and implement best practices and processes</li> <li>Experience with Microsoft AI/ML solutions</li> <li>Experience in Agile development methodologies</li> <li>Experience implementing Delta Lake and Data Lakehouse is preferred</li> <li>Microsoft Azure Certifications related to Data and Analytics strongly preferred (e.g., Microsoft Certified: Azure Data Engineer DP200/201, and/or 70-467, or related MCSE)</li> </ul> <p><strong>ABOUT:</strong> Client is the world's leading professional services firm in the areas of risk, strategy, and people. The Company's 76,000 colleagues advise clients in 130 countries. With annual revenue over $17 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. Marsh advises individual and commercial clients of all sizes on insurance broking and innovative risk management solutions. Guy Carpenter develops advanced risk, reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations redefine the world of work, reshape retirement and investment outcomes, and unlock health and wellbeing for a changing workforce. Oliver Wyman serves as a critical strategic, economic and brand advisor to private sector and governmental clients.</p>


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