Senior Data Architect

Alvarez & Marsal - Tampa, FL

Part-time - Mid Level

Tampa, FL

5,001-10,000 employees

Professional, Scientific, and Technical Services

About the position

Alvarez & Marsal is seeking a Senior Data Architect with a passion for data management and architecture to advance our corporate IT division. In this role, your expertise will be instrumental in the development and enhancement of our internal data warehouse and business intelligence systems, which support over 18 diverse business units. Your responsibilities will include designing, constructing, and improving our SQL data warehouse, ETL processes, and Azure environments, as well as resolving data and database issues. Success in this role requires meticulous attention to detail, proficiency with the Azure data stack, and a comprehensive understanding of data architecture principles. As a Senior Data Architect, you will develop data architecture strategies aligned with our company's goals. You will lead the redesign of the current SQL-based data warehouse for scalability, performance, and cost-efficiency. Your role will involve designing and overseeing ETL development using Azure Data Factory and Informatica, consolidating and standardizing ETL processes using specialized tools, and collaborating with ERP and other teams to review and integrate Master Data Management (MDM) requirements. You will also support our data governance program to ensure data quality, security, and compliance, while utilizing Informatica for seamless data integration and management. In addition, you will be responsible for improving existing and new subject areas within our SQL data warehouse, maintaining high standards of data quality, consistency, and security across various sources. You will gather requirements and set data architecture standards in partnership with stakeholders, create and maintain comprehensive data models, flowcharts, and governance protocols, and promote best practices for data stewardship, integration, and warehousing. Your specialized knowledge on data organization, analytics, and cleansing will be crucial, as will your ability to manage sensitive data with the highest level of discretion and adherence to ownership protocols. Training users on new data components and data domain usage will also be part of your responsibilities.

Responsibilities

• Develop data architecture strategies aligned with the company's goals.
• Lead the redesign of the current SQL-based data warehouse for scalability, performance, and cost-efficiency.
• Design and oversee ETL development using Azure Data Factory and Informatica.
• Consolidate and standardize ETL processes using specialized tools like Azure Data Factory and Informatica.
• Collaborate with ERP and other teams to review and integrate Master Data Management (MDM) requirements.
• Support the data governance program to ensure data quality, security, and compliance.
• Utilize Informatica for seamless data integration and management.
• Improve existing and new subject areas within the SQL data warehouse.
• Maintain high standards of data quality, consistency, and security across various sources.
• Gather requirements and set data architecture standards in partnership with stakeholders.
• Create and maintain comprehensive data models, flowcharts, and governance protocols.
• Promote and implement best practices for data stewardship, integration, and warehousing.
• Supervise and enhance data infrastructure for optimal performance and scalability.
• Offer specialized knowledge on data organization, analytics, and cleansing.
• Manage sensitive data with the highest level of discretion and adherence to ownership protocols.
• Train users on new data components and data domain usage.

Requirements

• Bachelor's degree or equivalent from an accredited institution in Computer Science.
• Minimum 5 years of experience in data architecture, integration, and management.
• Prior professional services experience preferred.
• Proven success in deploying Informatica and/or Snowflake solutions.
• Strong experience with the Azure data stack.
• Well-versed in data structures and algorithms.
• Ability to work with stakeholders to assess potential risks.
• Ability to analyze existing tools and databases and provide software solution recommendations.
• Ability to translate business requirements into non-technical, lay terms.
• High-level experience in methodologies and processes for managing large-scale databases.
• Demonstrated experience in handling large data sets and relational databases.
• High-level written and verbal communication skills.
• Knowledge of building modern data reporting solutions in cloud technologies, including Power BI, is a plus.
• Knowledge of enterprise data, data warehousing, and Azure cloud data platforms.
• Experience with integrating multiple source systems, such as Salesforce and custom-developed systems using REST API.
• Experience with modeling, warehousing, and ETL methodologies using cloud-based technologies in the Microsoft stack (Microsoft SQL Server, Azure Data Studio, Azure Data Factory, Blob Storage) as well as non-Microsoft technology such as Snowflake.

Nice-to-haves

• Knowledge of building modern data reporting solutions in cloud technologies, including Power BI.

Benefits

• Healthcare plans
• Flexible spending and savings accounts
• Life, AD&D, and disability coverages
• 401(k)-retirement plan with discretionary contributions
• Paid time off including vacation and personal days
• Seventy-two (72) hours of sick time (prorated for part-time employees)
• Ten federal holidays
• One floating holiday
• Parental leave