CIRCOR International, Inc.
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Data Architect
role at
CIRCOR International, Inc. 1 week ago Be among the first 25 applicants Join to apply for the
Data Architect
role at
CIRCOR International, Inc. Get AI-powered advice on this job and more exclusive features. Position Summary
Advancing data analytics and master data management (MDM) capabilities are at the core of our strategic vision to augment business decision-making by drawing meaningful insights from its data assets. We are implementing an ERP roadmap to modernize and consolidate to support vital business operations to understand the company’s performance, and opportunities. Our further plan is to strengthen data architecture, analytics, and MDM practices to harness the full value of its data assets. This pivotal role is crucial to ensuring data quality accuracy, security, and compliance of data. This role will be responsible for cultivating a culture of data stewardship and ownership across the enterprise, which will involve working with the stakeholders to gather requirements, and design and implement standardized data governance policies and procedures aimed at supporting data management and compliance initiatives. Principle Activities
Data Governance Collaborate with cross-functional teams such as data engineers, architects, technology leads, business analysts, and other cross-functional stakeholders to establish data quality standards, policies, procedures, data ownership, access control, and data definitions. Establish trust and relationships with stakeholders while defining data governance requirements, ensuring alignment with business goals. Develop and maintain a centralized metadata catalog, and dictionary to document data assets, schemas, and lineage of data being managed by our organization and third-party applications. Define data access policies and classify assets based on sensitivity, confidentiality, and regulatory requirements to ensure compliance with privacy regulations such as ITAR, CCPA, and GDPR. Implement data security, encryption, and access controls to protect sensitive data from unauthorized access or disclosure. Coordinate with legal and compliance teams on the proper classification of Data and its retention periods Ensure compliance with relevant data protection regulations and industry standards. Coordinate with the compliance team to ensure that the data in 3rd party applications is being maintained within our policies. Lead effort to cleanse data and maintain accuracy by implementing quality control guidelines and reconciliation process.
Position Summary
Advancing data analytics and master data management (MDM) capabilities are at the core of our strategic vision to augment business decision-making by drawing meaningful insights from its data assets. We are implementing an ERP roadmap to modernize and consolidate to support vital business operations to understand the company’s performance, and opportunities. Our further plan is to strengthen data architecture, analytics, and MDM practices to harness the full value of its data assets. This pivotal role is crucial to ensuring data quality accuracy, security, and compliance of data. This role will be responsible for cultivating a culture of data stewardship and ownership across the enterprise, which will involve working with the stakeholders to gather requirements, and design and implement standardized data governance policies and procedures aimed at supporting data management and compliance initiatives.
Principle Activities
Data Governance
Collaborate with cross-functional teams such as data engineers, architects, technology leads, business analysts, and other cross-functional stakeholders to establish data quality standards, policies, procedures, data ownership, access control, and data definitions. Establish trust and relationships with stakeholders while defining data governance requirements, ensuring alignment with business goals. Develop and maintain a centralized metadata catalog, and dictionary to document data assets, schemas, and lineage of data being managed by our organization and third-party applications. Define data access policies and classify assets based on sensitivity, confidentiality, and regulatory requirements to ensure compliance with privacy regulations such as ITAR, CCPA, and GDPR. Implement data security, encryption, and access controls to protect sensitive data from unauthorized access or disclosure. Coordinate with legal and compliance teams on the proper classification of Data and its retention periods Ensure compliance with relevant data protection regulations and industry standards. Coordinate with the compliance team to ensure that the data in 3rd party applications is being maintained within our policies. Lead effort to cleanse data and maintain accuracy by implementing quality control guidelines and reconciliation process.
Data Architecture and Strategy
Work closely with business and IT teams to participate in the development of an overall Data analytics and AI strategy aligned with the business goals. Lead data architecture, data integration design, and data migration projects. Lead strategy to consolidate customer, product, inventory, and transactional data from different data on-prem and cloud data sources. Architect roadmap expansion of MDM, data analytics landscape.
Data Quality Management
Develop and implement data quality metrics, monitoring, quality assessments, and audit processes. Create reports and reconciliation processes on data quality and work with the business to improve data quality iteratively. Proactively identify data quality issues and work with relevant teams to resolve them. Work closely with cross-functional teams to ensure that business intelligence is performed through consistent data sources and calculations.
Data Lifecycle Management
Coordinate with Architects and Development teams to assist with managing data lifecycle processes, including data creation, maintenance, archival, and deletion. Ensure data is appropriately classified and protected based on its sensitivity and value. Coordinate closely with QA teams for non-production data refreshes and strategies Work on eliminating duplicate data in the current state and prevent the elimination of unneeded duplication of data in the future.
Requirements
Required Knowledge, Skills, and Abilities:
Strategic thinker capable of assessing business goals and translating them into a data architecture roadmap. Proficient in data analytics, data quality management, governance, life cycle management, integration, and modeling concepts. Ability to analyze and interpret data to identify trends, patterns, and anomalies. Strong communication skills to collaborate with cross-functional teams, explain complex data concepts to non-technical stakeholders, and facilitate data-related discussions. Effective problem-solving skills to address data quality issues, data integration challenges, and data governance concerns. Meticulous attention to detail to ensure data accuracy, completeness, and consistency. Understanding of data privacy regulations (e.g., GDPR, CCPA) and compliance requirements. Ability to work collaboratively in a team environment and build positive relationships with stakeholders at all levels. Flexibility to adapt to evolving data management practices, technologies, and business requirements. Ability to work in a dynamic and ambiguous environment. Awareness of ethical considerations related to data stewardship, including data privacy, confidentiality, and security. Strong understanding of data governance frameworks, principles, and best practices.
Experience & Education
A bachelor's degree in computer science, information technology, data management, statistics, mathematics, or a related field. Prior experience working in a customer data platform (CDP), and MDM platform such as Oracle, Epsilon, Informatica, etc. Previous experience in data management, governance, analysis, or related fields. 10+ years of experience working as a data architect, data engineer, data steward, or similar positions. 5+ years of experience with the data lake, Lambda architecture, and data architecture practice. 5+ years of experience working in data modeling, SQL DBMS, and related tools. 5+ years of experience in data governance and data quality management. Experience working with data management tools, data profiling tools, data quality tools, and data integration tools. Experience working with ERP products such as IFS, SAP etc. Certifications in Certified Data Management Professional (CDMP), Certified Information Management Professional (CIMP), or certifications in data governance or data quality management are preferred. May require International travel up to 10%
CIRCOR is an EEO Employer of Females / Minorities / Veterans / Individuals with Disabilities
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Industrial Machinery Manufacturing Referrals increase your chances of interviewing at CIRCOR International, Inc. by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Disability insurance Get notified about new Data Architect jobs in
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Data Architect
role at
CIRCOR International, Inc. 1 week ago Be among the first 25 applicants Join to apply for the
Data Architect
role at
CIRCOR International, Inc. Get AI-powered advice on this job and more exclusive features. Position Summary
Advancing data analytics and master data management (MDM) capabilities are at the core of our strategic vision to augment business decision-making by drawing meaningful insights from its data assets. We are implementing an ERP roadmap to modernize and consolidate to support vital business operations to understand the company’s performance, and opportunities. Our further plan is to strengthen data architecture, analytics, and MDM practices to harness the full value of its data assets. This pivotal role is crucial to ensuring data quality accuracy, security, and compliance of data. This role will be responsible for cultivating a culture of data stewardship and ownership across the enterprise, which will involve working with the stakeholders to gather requirements, and design and implement standardized data governance policies and procedures aimed at supporting data management and compliance initiatives. Principle Activities
Data Governance Collaborate with cross-functional teams such as data engineers, architects, technology leads, business analysts, and other cross-functional stakeholders to establish data quality standards, policies, procedures, data ownership, access control, and data definitions. Establish trust and relationships with stakeholders while defining data governance requirements, ensuring alignment with business goals. Develop and maintain a centralized metadata catalog, and dictionary to document data assets, schemas, and lineage of data being managed by our organization and third-party applications. Define data access policies and classify assets based on sensitivity, confidentiality, and regulatory requirements to ensure compliance with privacy regulations such as ITAR, CCPA, and GDPR. Implement data security, encryption, and access controls to protect sensitive data from unauthorized access or disclosure. Coordinate with legal and compliance teams on the proper classification of Data and its retention periods Ensure compliance with relevant data protection regulations and industry standards. Coordinate with the compliance team to ensure that the data in 3rd party applications is being maintained within our policies. Lead effort to cleanse data and maintain accuracy by implementing quality control guidelines and reconciliation process.
Position Summary
Advancing data analytics and master data management (MDM) capabilities are at the core of our strategic vision to augment business decision-making by drawing meaningful insights from its data assets. We are implementing an ERP roadmap to modernize and consolidate to support vital business operations to understand the company’s performance, and opportunities. Our further plan is to strengthen data architecture, analytics, and MDM practices to harness the full value of its data assets. This pivotal role is crucial to ensuring data quality accuracy, security, and compliance of data. This role will be responsible for cultivating a culture of data stewardship and ownership across the enterprise, which will involve working with the stakeholders to gather requirements, and design and implement standardized data governance policies and procedures aimed at supporting data management and compliance initiatives.
Principle Activities
Data Governance
Collaborate with cross-functional teams such as data engineers, architects, technology leads, business analysts, and other cross-functional stakeholders to establish data quality standards, policies, procedures, data ownership, access control, and data definitions. Establish trust and relationships with stakeholders while defining data governance requirements, ensuring alignment with business goals. Develop and maintain a centralized metadata catalog, and dictionary to document data assets, schemas, and lineage of data being managed by our organization and third-party applications. Define data access policies and classify assets based on sensitivity, confidentiality, and regulatory requirements to ensure compliance with privacy regulations such as ITAR, CCPA, and GDPR. Implement data security, encryption, and access controls to protect sensitive data from unauthorized access or disclosure. Coordinate with legal and compliance teams on the proper classification of Data and its retention periods Ensure compliance with relevant data protection regulations and industry standards. Coordinate with the compliance team to ensure that the data in 3rd party applications is being maintained within our policies. Lead effort to cleanse data and maintain accuracy by implementing quality control guidelines and reconciliation process.
Data Architecture and Strategy
Work closely with business and IT teams to participate in the development of an overall Data analytics and AI strategy aligned with the business goals. Lead data architecture, data integration design, and data migration projects. Lead strategy to consolidate customer, product, inventory, and transactional data from different data on-prem and cloud data sources. Architect roadmap expansion of MDM, data analytics landscape.
Data Quality Management
Develop and implement data quality metrics, monitoring, quality assessments, and audit processes. Create reports and reconciliation processes on data quality and work with the business to improve data quality iteratively. Proactively identify data quality issues and work with relevant teams to resolve them. Work closely with cross-functional teams to ensure that business intelligence is performed through consistent data sources and calculations.
Data Lifecycle Management
Coordinate with Architects and Development teams to assist with managing data lifecycle processes, including data creation, maintenance, archival, and deletion. Ensure data is appropriately classified and protected based on its sensitivity and value. Coordinate closely with QA teams for non-production data refreshes and strategies Work on eliminating duplicate data in the current state and prevent the elimination of unneeded duplication of data in the future.
Requirements
Required Knowledge, Skills, and Abilities:
Strategic thinker capable of assessing business goals and translating them into a data architecture roadmap. Proficient in data analytics, data quality management, governance, life cycle management, integration, and modeling concepts. Ability to analyze and interpret data to identify trends, patterns, and anomalies. Strong communication skills to collaborate with cross-functional teams, explain complex data concepts to non-technical stakeholders, and facilitate data-related discussions. Effective problem-solving skills to address data quality issues, data integration challenges, and data governance concerns. Meticulous attention to detail to ensure data accuracy, completeness, and consistency. Understanding of data privacy regulations (e.g., GDPR, CCPA) and compliance requirements. Ability to work collaboratively in a team environment and build positive relationships with stakeholders at all levels. Flexibility to adapt to evolving data management practices, technologies, and business requirements. Ability to work in a dynamic and ambiguous environment. Awareness of ethical considerations related to data stewardship, including data privacy, confidentiality, and security. Strong understanding of data governance frameworks, principles, and best practices.
Experience & Education
A bachelor's degree in computer science, information technology, data management, statistics, mathematics, or a related field. Prior experience working in a customer data platform (CDP), and MDM platform such as Oracle, Epsilon, Informatica, etc. Previous experience in data management, governance, analysis, or related fields. 10+ years of experience working as a data architect, data engineer, data steward, or similar positions. 5+ years of experience with the data lake, Lambda architecture, and data architecture practice. 5+ years of experience working in data modeling, SQL DBMS, and related tools. 5+ years of experience in data governance and data quality management. Experience working with data management tools, data profiling tools, data quality tools, and data integration tools. Experience working with ERP products such as IFS, SAP etc. Certifications in Certified Data Management Professional (CDMP), Certified Information Management Professional (CIMP), or certifications in data governance or data quality management are preferred. May require International travel up to 10%
CIRCOR is an EEO Employer of Females / Minorities / Veterans / Individuals with Disabilities
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Industrial Machinery Manufacturing Referrals increase your chances of interviewing at CIRCOR International, Inc. by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Disability insurance Get notified about new Data Architect jobs in
Burlington, MA . Cambridge, MA $177,000.00-$263,000.00 1 week ago Cambridge, MA $147,000.00-$216,000.00 1 week ago Solutions Architect, Retail, Google Cloud
Cambridge, MA $147,000.00-$216,000.00 2 days ago Cambridge, MA $147,000.00-$216,000.00 1 week ago Data Architect (15+ Yrs ExP)_Milliman Build (HEALTHCARE EXP NEEDED)_Remote_ONLY ON W2
Scientific Data Architect/Senior Scientific Data Architect - Boston
Marlborough, MA $100,000.00-$150,000.00 1 week ago Staff Clinical Informatics Data Architect
Boston, MA $162,000.00-$230,000.00 2 weeks ago Marlborough, MA $100,000.00-$150,000.00 4 weeks ago Greater Boston $180,000.00-$200,000.00 4 days ago Bedford, MA $140,000.00-$160,000.00 3 weeks ago Fellow Enterprise Architect - Commercial IT
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Boston, MA $92,118.00-$202,730.00 2 days ago Specialist Solutions Architect–Cloud Infrastructure Management
Boston, MA $149,250.00-$246,300.00 4 days ago IT Solutions Architect, Enterprise Reporting and Data Governance
Waltham, MA $135,000.00-$145,000.00 1 week ago Boston, MA $130,000.00-$150,000.00 1 day ago Cambridge, MA $180,000.00-$200,000.00 4 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr