Data Architect (Remote available)

Clarivate

Philadelphia Pennsylvania

United States

Customer Service / Call Center
(No Timezone Provided)

The Data Architect would need to have at least 10+ years of experience. As the Data Architect/Big Data Architect, you will be responsible for enhancing our current Datawarehouse platform and plotting a new holistic data architecture to transform data environments into a highly valued business asset supporting the dynamic data science and analytics needs of the future, leveraging appropriate data platforms and technologies.

As the Architect, you will partner closely with Architect peers and Information Management design teams, as well as the business stakeholders. This role will serve as lead Data Architect as well as Big Data Architect in the Clarivate strategic initiative current and future platform including plotting thestrategy tosimplify data environments, data integration, and build-out of a new, efficient enterprise class data warehouse and lake.

Responsibilities:

  • Partner with business leadership to identify problems, and opportunities for technology innovation.

  • Partner with peer architects,design,and engineering Information Management teams

  • Help establish a clear, consistent technology vision through collaboration, influence, and enablement.

  • Research, recommend,design,and develop our Data Architecture.

  • Implement business and IT vision through creation of new architecture strategy to span all data platforms (relational,NoSQL,ETLetc.)

  • Devise as-is, to-be and interim data platform architecture tosupportdataneeds and platform / data integration transformation.

  • Ensures system, technical and product architectures are aligned with business objectives.

  • Anticipates and manages technology evolution and relates it to business solutions. 

  • Sets direction based on alignment to business and overall technology standards.

  • Stay informed on initiatives across the industry and the enterprise to help product owners and IT leadership effectively prioritize.

  • Tailor communication and convey complex ideas in a concise manner to a diverse set of audiences and venues.

  • Craft guidance that helps delivery teams identify quality risk factors around security and compliance.

  • Provide tools that enable development teams to rapidly build databases that enable them to deploy software that is consistent withthe broaderarchitectural vision.

  • Identify and assess the organizational impact of enterprise Data Architecture and standards, including change in skills,processes,and structures.

  • Accelerate delivery by forming a network of positive relationships with vendors, and other influencers within the enterprise and beyond.

  • Promote the company's technology brand through creative thinking, and constantly raising the bar of what's possible.

  • Mentor associate engineers,architects,and senior leadership alike. Inspire and lead senior technical individual contributors.

  • Qualifications:

  • ±10years demonstrating a high degree of proficiency in designing and engineering complex, high-quality data technical architectures and detailed designs.

  • Five (4) or more years in a Data Architecture role architecting data warehouseswith Oracle. Data lakes withAWSorbig data technologies such as Hadoop, MapReduce, Hive, HBase, MongoDB or Cassandra.

  • Have depth and hands-on experience devising Architecture best practices, deliverables,drawings,and frameworks

  • Have a track record of crafting massively scalable, always-on, multi-region data systems.

  • Able to show a history of incrementally transitioning legacy data systems support modern, evolutionary architectures.

  • Have utilized one or more cloud-based platforms such as AWS, Azure, and Google Cloud, and can elaborate on the - AAS hierarchy.

  • - Fluent in various forms of machine learning and have practical experience of how to deploy into applications.

  • Understand the consequences of massively concurrent systems, and how to mitigate potential issues.

  • Have proven expertise in a wide variety of database technologies, from Oracle,Snowflake, Redshift,SQLServerto NoSQL systems such as MongoDB, Couch,Cloudant, Cassandra, and/or Elasticsearch, and can explain their varied use cases.

  • Have experience using various information management technologies such as Teradata, SAS, MicroStrategy, HadooporSplunk.

  • Have developed strategies for data movement, data obfuscation (data masking), record retention (Deletion and Archival), data infrastructure/security, operational data stores (ODS), enterprise data warehouses, data lakes andthe operationalreporting.

  • Have deep knowledge of how to secure complex data systems and infrastructure against different attack vectors.

  • Have lead threat modelingexercises andhelped craft remediation plans.

  • Havebeen a decision maker in build vs buy scenarios, and how to break down the pros and cons both.

  • Created systems spanning a variety of modern architectural paradigms.

  • Have made the leap of guiding application teams to provide insights and actions through machine learning/artificial intelligence techniques.

  • It is the policy of Clarivate to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, pregnancy, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Clarivate will provide reasonable accommodations for qualified individuals with disabilities.

    Data Architect (Remote available)

    Clarivate

    Philadelphia Pennsylvania

    United States

    Customer Service / Call Center

    (No Timezone Provided)

    The Data Architect would need to have at least 10+ years of experience. As the Data Architect/Big Data Architect, you will be responsible for enhancing our current Datawarehouse platform and plotting a new holistic data architecture to transform data environments into a highly valued business asset supporting the dynamic data science and analytics needs of the future, leveraging appropriate data platforms and technologies.

    As the Architect, you will partner closely with Architect peers and Information Management design teams, as well as the business stakeholders. This role will serve as lead Data Architect as well as Big Data Architect in the Clarivate strategic initiative current and future platform including plotting thestrategy tosimplify data environments, data integration, and build-out of a new, efficient enterprise class data warehouse and lake.

    Responsibilities:

  • Partner with business leadership to identify problems, and opportunities for technology innovation.

  • Partner with peer architects,design,and engineering Information Management teams

  • Help establish a clear, consistent technology vision through collaboration, influence, and enablement.

  • Research, recommend,design,and develop our Data Architecture.

  • Implement business and IT vision through creation of new architecture strategy to span all data platforms (relational,NoSQL,ETLetc.)

  • Devise as-is, to-be and interim data platform architecture tosupportdataneeds and platform / data integration transformation.

  • Ensures system, technical and product architectures are aligned with business objectives.

  • Anticipates and manages technology evolution and relates it to business solutions. 

  • Sets direction based on alignment to business and overall technology standards.

  • Stay informed on initiatives across the industry and the enterprise to help product owners and IT leadership effectively prioritize.

  • Tailor communication and convey complex ideas in a concise manner to a diverse set of audiences and venues.

  • Craft guidance that helps delivery teams identify quality risk factors around security and compliance.

  • Provide tools that enable development teams to rapidly build databases that enable them to deploy software that is consistent withthe broaderarchitectural vision.

  • Identify and assess the organizational impact of enterprise Data Architecture and standards, including change in skills,processes,and structures.

  • Accelerate delivery by forming a network of positive relationships with vendors, and other influencers within the enterprise and beyond.

  • Promote the company's technology brand through creative thinking, and constantly raising the bar of what's possible.

  • Mentor associate engineers,architects,and senior leadership alike. Inspire and lead senior technical individual contributors.

  • Qualifications:

  • ±10years demonstrating a high degree of proficiency in designing and engineering complex, high-quality data technical architectures and detailed designs.

  • Five (4) or more years in a Data Architecture role architecting data warehouseswith Oracle. Data lakes withAWSorbig data technologies such as Hadoop, MapReduce, Hive, HBase, MongoDB or Cassandra.

  • Have depth and hands-on experience devising Architecture best practices, deliverables,drawings,and frameworks

  • Have a track record of crafting massively scalable, always-on, multi-region data systems.

  • Able to show a history of incrementally transitioning legacy data systems support modern, evolutionary architectures.

  • Have utilized one or more cloud-based platforms such as AWS, Azure, and Google Cloud, and can elaborate on the - AAS hierarchy.

  • - Fluent in various forms of machine learning and have practical experience of how to deploy into applications.

  • Understand the consequences of massively concurrent systems, and how to mitigate potential issues.

  • Have proven expertise in a wide variety of database technologies, from Oracle,Snowflake, Redshift,SQLServerto NoSQL systems such as MongoDB, Couch,Cloudant, Cassandra, and/or Elasticsearch, and can explain their varied use cases.

  • Have experience using various information management technologies such as Teradata, SAS, MicroStrategy, HadooporSplunk.

  • Have developed strategies for data movement, data obfuscation (data masking), record retention (Deletion and Archival), data infrastructure/security, operational data stores (ODS), enterprise data warehouses, data lakes andthe operationalreporting.

  • Have deep knowledge of how to secure complex data systems and infrastructure against different attack vectors.

  • Have lead threat modelingexercises andhelped craft remediation plans.

  • Havebeen a decision maker in build vs buy scenarios, and how to break down the pros and cons both.

  • Created systems spanning a variety of modern architectural paradigms.

  • Have made the leap of guiding application teams to provide insights and actions through machine learning/artificial intelligence techniques.

  • It is the policy of Clarivate to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, pregnancy, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Clarivate will provide reasonable accommodations for qualified individuals with disabilities.