.. client and project expectations are met Produce high quality deliverables Assist Technical Services and Project Mangers in fulfilling client expectations as it relates to TI application configurations Perform other special projects or duties when required such as validation and UAT script .. read more
A Data Architect who can design and implement data modernization solutions in the cloud is responsible for developing and implementing data architecture strategies for organizations transitioning their data systems to the cloud. They collaborate with stakeholders to understand business requirements and translate them into scalable, secure, and high-performing data solutions. The Data Solution Architect works closely with data engineers, data scientists, and other IT professionals to design and deliver robust data platforms and architectures. Skills Required: Data Architecture : In-depth knowledge and experience in designing and implementing scalable, secure, and high-performing data architectures in the cloud. Cloud Technologies : Proficiency in cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), including their data services like AWS Glue, Azure Data Factory, or Google BigQuery. Data Modernization : Expertise in modernizing legacy data systems and transitioning them to cloud-based architectures using industry best practices. Data Integration : Strong understanding of data integration techniques, including ETL (Extract, Transform, Load) processes, data pipelines, and data streaming using Python , Kafka for streams , Pyspark , DBT , and ETL services provided by cloud providers and SQL/PLSQL Database Technologies : Familiarity with various database technologies, both relational and non-relational, such as SQL databases, NoSQL databases, data lakes, and data warehouses. Should have strong hands-on knowledge in Data Modelling techniques using ERWIN Data Governance : Knowledge of data governance principles and practices, including data quality, data lineage, data privacy, and compliance. Data Security : Understanding of data security principles, including encryption, access controls, and data masking techniques. Programming and Scripting : Proficiency in programming languages such as Python, Java, or Scala, and experience with scripting languages like SQL or Shell scripting. Communication and Collaboration : Excellent communication and collaboration skills to effectively work with stakeholders, business users, and technical teams. Responsibilities: Collaborate with stakeholders to understand business requirements and translate them into data architecture strategies and solutions. Design and develop scalable, secure, and high-performing data architectures in the cloud, leveraging cloud technologies and services. Modernize legacy data systems and migrate them to cloud-based architectures, ensuring smooth transition and minimal disruption. Collaborate with data engineers, data scientists, and other IT professionals to design and implement data pipelines, data transformation processes, and data integration solutions. Ensure data governance principles and best practices are implemented, including data quality controls, data privacy, and compliance. Optimize data platforms for performance, scalability, and cost efficiency, monitoring and troubleshooting any issues that may arise. Stay updated with the latest trends and advancements in cloud technologies and data architecture, continuously enhancing knowledge and skills. Provide guidance and mentorship to junior team members, fostering a culture of learning and growth. Act as a subject matter expert in data architecture and cloud technologies, providing recommendations and insights to stakeholders and senior management.