Data Enterprise Architect

As an experienced Data Enterprise Architect at ShyftLabs, you will be an integral part of our dynamic team. Your role involves defining architectures, leading projects, and collaborating with various IT groups to drive innovation and accelerate the growth of businesses in different industries. Key Responsibilities: - Plan and analyze user requirements to automate processing or improve existing systems. - Prepare As-Is, To Be, Gap analysis, SWOTs, charts, diagrams, and tables to illustrate present and proposed systems. - Drive and lead initiatives across functional agency systems and other state entities, coordinating project development and implementation stages. - Provide expertise in developing and implementing architectural solutions that meet agency business needs effectively. - Evaluate current and future solutions, applications, and technologies to establish planning objectives. - Oversee the development, analysis, and revision of design procedures, program codes, and quality standards. - Translate business strategy into technical strategy and define end-to-end technology architectures. - Analyze and define disaster recovery responsibilities and procedures. - Assist in information technology planning and justification. - Develop real-time data visualization platforms and tools. - Own and drive MDM, Data Governance, Big Data, and Cloud Data Management initiatives. - Develop data integration processes using ETL platforms such as Biqquery, Informatica, and snowflake. - Collaborate with the Enterprise Architecture team on standards, product roadmap, and architecture decisions. - Monitor CDI services and run-time components to ensure high performance and availability. - Collaborate with global team members to optimize data usage within the organization. Qualifications Required: - At least 8 years of experience in Architecting and Designing Data pipelines and Data Integrations. - Minimum 3 years of experience in Architecting and managing large data sets and CDI platforms. - 3 years of experience in developing Big Data Solutions. - 4 years of public cloud design and implementation experience (GCP, AWS, Azure). - 3 years of experience in using GCP pub-sub for data integration pipelines. - 6 years of experience in developing Python. - Expertise in data models, data pipeline concepts, and cloud-based infrastructure disciplines. - Deep working knowledge of data technologies such as Snowflake, Kafka, DBT, Airflow, Kubernetes, etc. - In-depth experience in data ingestion/pipelines, data migration, data testing & validation, data cleansing, and data modeling. Join ShyftLabs to be part of a growing data product company that collaborates with Fortune 500 companies and offers competitive salaries, strong insurance packages, and extensive learning and development resources. As an experienced Data Enterprise Architect at ShyftLabs, you will be an integral part of our dynamic team. Your role involves defining architectures, leading projects, and collaborating with various IT groups to drive innovation and accelerate the growth of businesses in different industries. Key Responsibilities: - Plan and analyze user requirements to automate processing or improve existing systems. - Prepare As-Is, To Be, Gap analysis, SWOTs, charts, diagrams, and tables to illustrate present and proposed systems. - Drive and lead initiatives across functional agency systems and other state entities, coordinating project development and implementation stages. - Provide expertise in developing and implementing architectural solutions that meet agency business needs effectively. - Evaluate current and future solutions, applications, and technologies to establish planning objectives. - Oversee the development, analysis, and revision of design procedures, program codes, and quality standards. - Translate business strategy into technical strategy and define end-to-end technology architectures. - Analyze and define disaster recovery responsibilities and procedures. - Assist in information technology planning and justification. - Develop real-time data visualization platforms and tools. - Own and drive MDM, Data Governance, Big Data, and Cloud Data Management initiatives. - Develop data integration processes using ETL platforms such as Biqquery, Informatica, and snowflake. - Collaborate with the Enterprise Architecture team on standards, product roadmap, and architecture decisions. - Monitor CDI services and run-time components to ensure high performance and availability. - Collaborate with global team members to optimize data usage within the organization. Qualifications Required: - At least 8 years of experience in Architecting and Designing Data pipelines and Data Integrations. - Minimum 3 years of experience in Architecting and managing large data sets and CDI platforms. - 3 years of experience in developing Big Data Solutions. - 4 years of public cloud design and implementation experience (GCP, AWS, Azure). - 3 years of experi