Company:
HireRight
Location: Nashville
Closing Date: 18/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
About HireRight:
HireRight is the premier global background screening and workforce solutions provider. We bring clarity and confidence to vetting and hiring decisions through integrated, tailored solutions, driving a higher standard of accuracy in everything we do. Combining in-house talent, personalized services, and proprietary technology, we ensure the best candidate experience possible. We offer expertise from our regional centers across 200 countries and territories in The Americas, Europe, Asia, and the Middle East. Our commitment to get it right every time, everywhere, makes us the trusted partner of businesses and organizations worldwide.
Overview:
The Enterprise Data Architect is responsible for designing, implementing, and maintaining the overall data architecture of the organization. This role involves creating a comprehensive data strategy to support the business's strategic goals, ensuring data consistency, integrity, and availability across various systems. The ideal candidate will have extensive experience in data architecture, data modeling, and data management, with a strong understanding of business intelligence (BI), data analytics, lakehouse architectures, and technology.
Responsibilities:
Data Strategy Development:
Develop and execute the enterprise data architecture strategy aligned with the organization’s goals.
Collaborate with business leaders to understand data needs and ensure the architecture supports business objectives.
Evaluate and recommend data management tools and technologies that align with the organization’s strategic vision.
Implement master data management, reference data management, metadata management strategies to ensure data consistency, quality and security.
Architectural Design:
Design and implement data models, data flows, and data integration strategies to support business processes.
Develop and maintain comprehensive data architecture documentation, including data models, data dictionaries, and metadata.
Establish data governance frameworks and best practices to ensure data quality, consistency, and security.
Business Intelligence (BI) Integration:
Design and implement BI architecture to support reporting, analytics, and decision-making processes.
Develop and maintain BI data models, dashboards, and reports that provide actionable insights to business stakeholders.
Evaluate and recommend BI tools and technologies to enhance data visualization and analysis capabilities.
Lakehouse Architecture:
Design and implement lakehouse architectures that combine the features of data lakes and data warehouses, optimizing for both structured and unstructured data.
Utilize lakehouse platforms and tools to integrate, store, and analyze large volumes of data efficiently.
Evaluate and recommend lakehouse solutions and technologies, including Delta Lake, Apache Hudi, MS Fabric, Databricks, or Apache Iceberg, to enhance data processing and analytics.
Integration and Implementation:
Oversee the integration of disparate data sources and systems, ensuring seamless data flow and interoperability.
Work with IT and development teams to implement data architecture solutions and troubleshoot issues.
Provide technical leadership and guidance during the data integration and migration processes.
Data Governance and Compliance:
Implement data governance policies and standards to manage data effectively and ensure compliance with regulations (e.g., GDPR, CCPA).
Monitor data quality and performance metrics, addressing issues as they arise to maintain data integrity.
Collaboration and Leadership:
Lead cross-functional teams to drive data-related projects and initiatives.
Communicate data architecture strategies and solutions to stakeholders at all levels, including executives.
Mentor and provide guidance to junior data architects and data management staff.
Qualifications:
Education and Experience:
Bachelor’s Degree: in Computer Science, Information Systems, Data Management, or a related field. Master’s degree or equivalent is preferred.
Certifications: Relevant certifications such as Certified Data Management Professional (CDMP), TOGAF, or similar are highly desirable.
Experience: Minimum of 10-12 years of experience in data architecture, data modeling, and data management, including 5-7 years in a leadership or senior role.
Technical Skills:
Data Modeling: Proficiency in data modeling techniques and tools (e.g., Erwin, IBM InfoSphere Data Architect).
Databases: Deep knowledge of relational databases (e.g., SQL Server, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra).
Data Integration: Experience with ETL tools (e.g., Informatica, Talend) and data integration techniques.
Big Data Technologies: Familiarity with big data platforms and technologies (e.g., Hadoop, Spark) is a plus.
Cloud Platforms: Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud) and architectures.
Business Intelligence Tools:
Expertise in BI tools such as Tableau, Power BI, Looker, Qlik, or similar.
Ability to design and develop interactive dashboards and reports that drive business insights.
Experience with data warehousing solutions and techniques (e.g., Snowflake, Amazon Redshift, Google BigQuery).
Lakehouse Architectures:
Experience with lakehouse technologies such as Microsoft Fabric, Synapse, Databricks, Delta Lake, Apache Hudi, or Apache Iceberg.
Knowledge of how to leverage lakehouse architectures for scalable and efficient data processing and analytics.
Programming Languages: Proficiency in programming/scripting languages such as SQL, Python, or R.
Soft Skills:
Analytical Thinking: Strong analytical skills with the ability to design and implement complex data solutions.
Problem-Solving: Excellent problem-solving skills with a proactive approach to resolving data issues.
Communication: Effective communication skills, with the ability to present technical concepts to non-technical stakeholders.
Leadership: Proven leadership abilities with experience in managing cross-functional teams and projects.
Project Management: Strong organizational skills with experience in managing and delivering data projects on time and within budget.
Additional Requirements
Adaptability: Ability to adapt to changing technologies and business environments.
Detail-Oriented: Strong attention to detail and accuracy in designing and documenting data solutions.
Continuous Learning: Commitment to staying current with industry trends and emerging technologies in data management, architecture, BI, and lakehouse solutions.
What do we offer:
In exchange for your expertise, HireRight offers an excellent employee benefit package which includes:
• Medical
• Dental
• Vision
• Paid Life/AD&D Insurance
• Voluntary Life Insurance
• Short- & Long-Term Disability
• Flexible Spending Accounts
• 401K
• Generous Vacation and Sick Program
• 10 Paid Holidays
• Education Assistance Program
• Business Casual Attire
• Generous Referral Program
• Employee Discounts and Rewards
• And much more!
*All resumes are held in confidence. Only candidates whose profiles closely match requirements will be contacted during this search.
HireRight, LLC is an Equal Opportunity Employer
Minorities / Females / Veterans / Disabilities
HireRight does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of HireRight and HireRight will not be obligated to pay a placement fee
HireRight is the premier global background screening and workforce solutions provider. We bring clarity and confidence to vetting and hiring decisions through integrated, tailored solutions, driving a higher standard of accuracy in everything we do. Combining in-house talent, personalized services, and proprietary technology, we ensure the best candidate experience possible. We offer expertise from our regional centers across 200 countries and territories in The Americas, Europe, Asia, and the Middle East. Our commitment to get it right every time, everywhere, makes us the trusted partner of businesses and organizations worldwide.
Overview:
The Enterprise Data Architect is responsible for designing, implementing, and maintaining the overall data architecture of the organization. This role involves creating a comprehensive data strategy to support the business's strategic goals, ensuring data consistency, integrity, and availability across various systems. The ideal candidate will have extensive experience in data architecture, data modeling, and data management, with a strong understanding of business intelligence (BI), data analytics, lakehouse architectures, and technology.
Responsibilities:
Data Strategy Development:
Develop and execute the enterprise data architecture strategy aligned with the organization’s goals.
Collaborate with business leaders to understand data needs and ensure the architecture supports business objectives.
Evaluate and recommend data management tools and technologies that align with the organization’s strategic vision.
Implement master data management, reference data management, metadata management strategies to ensure data consistency, quality and security.
Architectural Design:
Design and implement data models, data flows, and data integration strategies to support business processes.
Develop and maintain comprehensive data architecture documentation, including data models, data dictionaries, and metadata.
Establish data governance frameworks and best practices to ensure data quality, consistency, and security.
Business Intelligence (BI) Integration:
Design and implement BI architecture to support reporting, analytics, and decision-making processes.
Develop and maintain BI data models, dashboards, and reports that provide actionable insights to business stakeholders.
Evaluate and recommend BI tools and technologies to enhance data visualization and analysis capabilities.
Lakehouse Architecture:
Design and implement lakehouse architectures that combine the features of data lakes and data warehouses, optimizing for both structured and unstructured data.
Utilize lakehouse platforms and tools to integrate, store, and analyze large volumes of data efficiently.
Evaluate and recommend lakehouse solutions and technologies, including Delta Lake, Apache Hudi, MS Fabric, Databricks, or Apache Iceberg, to enhance data processing and analytics.
Integration and Implementation:
Oversee the integration of disparate data sources and systems, ensuring seamless data flow and interoperability.
Work with IT and development teams to implement data architecture solutions and troubleshoot issues.
Provide technical leadership and guidance during the data integration and migration processes.
Data Governance and Compliance:
Implement data governance policies and standards to manage data effectively and ensure compliance with regulations (e.g., GDPR, CCPA).
Monitor data quality and performance metrics, addressing issues as they arise to maintain data integrity.
Collaboration and Leadership:
Lead cross-functional teams to drive data-related projects and initiatives.
Communicate data architecture strategies and solutions to stakeholders at all levels, including executives.
Mentor and provide guidance to junior data architects and data management staff.
Qualifications:
Education and Experience:
Bachelor’s Degree: in Computer Science, Information Systems, Data Management, or a related field. Master’s degree or equivalent is preferred.
Certifications: Relevant certifications such as Certified Data Management Professional (CDMP), TOGAF, or similar are highly desirable.
Experience: Minimum of 10-12 years of experience in data architecture, data modeling, and data management, including 5-7 years in a leadership or senior role.
Technical Skills:
Data Modeling: Proficiency in data modeling techniques and tools (e.g., Erwin, IBM InfoSphere Data Architect).
Databases: Deep knowledge of relational databases (e.g., SQL Server, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra).
Data Integration: Experience with ETL tools (e.g., Informatica, Talend) and data integration techniques.
Big Data Technologies: Familiarity with big data platforms and technologies (e.g., Hadoop, Spark) is a plus.
Cloud Platforms: Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud) and architectures.
Business Intelligence Tools:
Expertise in BI tools such as Tableau, Power BI, Looker, Qlik, or similar.
Ability to design and develop interactive dashboards and reports that drive business insights.
Experience with data warehousing solutions and techniques (e.g., Snowflake, Amazon Redshift, Google BigQuery).
Lakehouse Architectures:
Experience with lakehouse technologies such as Microsoft Fabric, Synapse, Databricks, Delta Lake, Apache Hudi, or Apache Iceberg.
Knowledge of how to leverage lakehouse architectures for scalable and efficient data processing and analytics.
Programming Languages: Proficiency in programming/scripting languages such as SQL, Python, or R.
Soft Skills:
Analytical Thinking: Strong analytical skills with the ability to design and implement complex data solutions.
Problem-Solving: Excellent problem-solving skills with a proactive approach to resolving data issues.
Communication: Effective communication skills, with the ability to present technical concepts to non-technical stakeholders.
Leadership: Proven leadership abilities with experience in managing cross-functional teams and projects.
Project Management: Strong organizational skills with experience in managing and delivering data projects on time and within budget.
Additional Requirements
Adaptability: Ability to adapt to changing technologies and business environments.
Detail-Oriented: Strong attention to detail and accuracy in designing and documenting data solutions.
Continuous Learning: Commitment to staying current with industry trends and emerging technologies in data management, architecture, BI, and lakehouse solutions.
What do we offer:
In exchange for your expertise, HireRight offers an excellent employee benefit package which includes:
• Medical
• Dental
• Vision
• Paid Life/AD&D Insurance
• Voluntary Life Insurance
• Short- & Long-Term Disability
• Flexible Spending Accounts
• 401K
• Generous Vacation and Sick Program
• 10 Paid Holidays
• Education Assistance Program
• Business Casual Attire
• Generous Referral Program
• Employee Discounts and Rewards
• And much more!
*All resumes are held in confidence. Only candidates whose profiles closely match requirements will be contacted during this search.
HireRight, LLC is an Equal Opportunity Employer
Minorities / Females / Veterans / Disabilities
HireRight does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of HireRight and HireRight will not be obligated to pay a placement fee
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