Jobright.ai
Senior Global Platform Big Data Architect
Jobright.ai, Alpharetta, Georgia, United States, 30239
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Senior Global Platform Big Data Architect
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Senior Global Platform Big Data Architect
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Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Equifax is seeking a highly experienced and visionary Global Platform Big Data Architect to spearhead the design, development, and evolution of their next-generation Data Fabric platform. This role will involve defining the architectural roadmap, establishing best practices, and providing expert guidance to engineering teams to build scalable and secure data solutions across GCP and AWS. Responsibilities: • Define and champion the architectural vision and strategy for our enterprise-wide Data Fabric platform, enabling seamless data discovery, access, integration, and governance across disparate data sources. • Lead the design and architecture of highly scalable, resilient, and cost-effective data solutions leveraging a diverse set of big data and cloud-native services in GCP and AWS. • Provide expert architectural guidance, technical leadership, and mentorship to multiple engineering teams, ensuring adherence to architectural principles, best practices, and design patterns. • Drive the selection, implementation, and continuous improvement of core data platform components, tools, and frameworks. • Leverage deep understanding of GCP and AWS data services (e.g., BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, S3, EMR, Kinesis, Redshift, Glue, Athena) to design optimal solutions. • Architect and implement robust data governance, security, privacy, and compliance measures within the data platform, ensuring data integrity and regulatory adherence. • Identify and address performance bottlenecks, optimize data pipelines, and ensure efficient resource utilization across cloud environments. • Stay abreast of emerging big data and cloud technologies, evaluate their potential impact, and recommend their adoption where appropriate. • Collaborate closely with data scientists, data engineers, analytics teams, product managers, and other stakeholders to understand data requirements and translate them into architectural designs. • Develop and maintain comprehensive architectural documentation, standards, and guidelines for data platform development. • Lead and execute proof-of-concepts for new technologies and architectural patterns to validate their feasibility and value. Qualifications: Required: • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related quantitative field. • 10+ years of progressive experience in data architecture, big data engineering, or cloud platform engineering. • 5+ years of hands-on experience specifically designing and building large-scale data platforms in a cloud environment. • Expertise in designing and implementing data lakes, data warehouses, and data marts in cloud environments. • Proficiency in at least one major programming language for data processing (e.g., Python, Scala, Java). • Deep understanding of distributed data processing frameworks (e.g., Apache Spark, Flink). • Experience with various data modeling techniques (dimensional, relational, NoSQL). • Solid understanding of DevOps principles, CI/CD pipelines, and infrastructure as code (e.g., Terraform, CloudFormation). • Experience with real-time data streaming technologies (e.g., Kafka, Kinesis, Pub/Sub). • Strong understanding of data governance, data quality, and metadata management concepts. • Excellent communication, presentation, and interpersonal skills with the ability to articulate complex technical concepts to both technical and non-technical audiences. • Proven ability to lead and influence technical teams without direct authority. Preferred: • Strong, demonstrable experience with Google Cloud Platform (GCP) big data services (e.g., BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer, Cloud Functions). GCP certifications (e.g., Professional Data Engineer, Professional Cloud Architect). • Strong, demonstrable experience with Amazon Web Services (AWS) big data services (e.g., S3, EMR, Kinesis, Redshift, Glue, Athena, Lambda). AWS certifications (e.g., Solutions Architect Professional, Big Data Specialty). • Experience with data mesh principles and implementing domain-oriented data architectures. • Familiarity with other cloud platforms (e.g., Azure) or on-premise data technologies. • Experience with containerization technologies (e.g., Docker, Kubernetes). • Knowledge of machine learning operationalization (MLOps) principles and platforms. • Contributions to open-source big data projects. Company: Equifax is a data, analytics, and technology company for automotive, fintech, healthcare, and insurance industries. Founded in 1899, the company is headquartered in Atlanta, Georgia, USA, with a team of 10001+ employees. The company is currently Public Company. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Data Architect” roles.
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Senior Global Platform Big Data Architect
role at
Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the
Senior Global Platform Big Data Architect
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Equifax is seeking a highly experienced and visionary Global Platform Big Data Architect to spearhead the design, development, and evolution of their next-generation Data Fabric platform. This role will involve defining the architectural roadmap, establishing best practices, and providing expert guidance to engineering teams to build scalable and secure data solutions across GCP and AWS. Responsibilities: • Define and champion the architectural vision and strategy for our enterprise-wide Data Fabric platform, enabling seamless data discovery, access, integration, and governance across disparate data sources. • Lead the design and architecture of highly scalable, resilient, and cost-effective data solutions leveraging a diverse set of big data and cloud-native services in GCP and AWS. • Provide expert architectural guidance, technical leadership, and mentorship to multiple engineering teams, ensuring adherence to architectural principles, best practices, and design patterns. • Drive the selection, implementation, and continuous improvement of core data platform components, tools, and frameworks. • Leverage deep understanding of GCP and AWS data services (e.g., BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, S3, EMR, Kinesis, Redshift, Glue, Athena) to design optimal solutions. • Architect and implement robust data governance, security, privacy, and compliance measures within the data platform, ensuring data integrity and regulatory adherence. • Identify and address performance bottlenecks, optimize data pipelines, and ensure efficient resource utilization across cloud environments. • Stay abreast of emerging big data and cloud technologies, evaluate their potential impact, and recommend their adoption where appropriate. • Collaborate closely with data scientists, data engineers, analytics teams, product managers, and other stakeholders to understand data requirements and translate them into architectural designs. • Develop and maintain comprehensive architectural documentation, standards, and guidelines for data platform development. • Lead and execute proof-of-concepts for new technologies and architectural patterns to validate their feasibility and value. Qualifications: Required: • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related quantitative field. • 10+ years of progressive experience in data architecture, big data engineering, or cloud platform engineering. • 5+ years of hands-on experience specifically designing and building large-scale data platforms in a cloud environment. • Expertise in designing and implementing data lakes, data warehouses, and data marts in cloud environments. • Proficiency in at least one major programming language for data processing (e.g., Python, Scala, Java). • Deep understanding of distributed data processing frameworks (e.g., Apache Spark, Flink). • Experience with various data modeling techniques (dimensional, relational, NoSQL). • Solid understanding of DevOps principles, CI/CD pipelines, and infrastructure as code (e.g., Terraform, CloudFormation). • Experience with real-time data streaming technologies (e.g., Kafka, Kinesis, Pub/Sub). • Strong understanding of data governance, data quality, and metadata management concepts. • Excellent communication, presentation, and interpersonal skills with the ability to articulate complex technical concepts to both technical and non-technical audiences. • Proven ability to lead and influence technical teams without direct authority. Preferred: • Strong, demonstrable experience with Google Cloud Platform (GCP) big data services (e.g., BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer, Cloud Functions). GCP certifications (e.g., Professional Data Engineer, Professional Cloud Architect). • Strong, demonstrable experience with Amazon Web Services (AWS) big data services (e.g., S3, EMR, Kinesis, Redshift, Glue, Athena, Lambda). AWS certifications (e.g., Solutions Architect Professional, Big Data Specialty). • Experience with data mesh principles and implementing domain-oriented data architectures. • Familiarity with other cloud platforms (e.g., Azure) or on-premise data technologies. • Experience with containerization technologies (e.g., Docker, Kubernetes). • Knowledge of machine learning operationalization (MLOps) principles and platforms. • Contributions to open-source big data projects. Company: Equifax is a data, analytics, and technology company for automotive, fintech, healthcare, and insurance industries. Founded in 1899, the company is headquartered in Atlanta, Georgia, USA, with a team of 10001+ employees. The company is currently Public Company. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Data Architect” roles.
Atlanta, GA $120,275.31-$163,230.78 1 week ago Atlanta, GA $168,000.00-$249,000.00 5 days ago Solutions Architect, Retail, Google Cloud
Atlanta, GA $147,000.00-$216,000.00 1 week ago Alpharetta, GA $141,300.00-$237,400.00 3 weeks ago Solution Architect / Technical Delivery Leader
Atlanta, GA $160,000.00-$185,000.00 5 days ago Atlanta, GA $167,032.32-$226,686.72 1 week ago Atlanta, GA $110,000.00-$110,000.00 4 days ago Portfolio Architect, AWS and Big Data Solutions
Atlanta, GA $140,000.00-$179,333.33 2 weeks ago Presales Solutions Architect (Infrastructure)
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