Azure Data Architect/Lead

Responsibilities:
•Be part of strategic planning in defining the road maps and environments that supports our clients’ Azure data and advanced analytics initiatives.
•Provide support in defining the scope and sizing of work.
•Working closely with various enterprise architects, Information security teams, Data management team, to ensure the architected solution meets all the needs of a customer, from a functionality perspective and IT solution engineering perspective.
•Translate business requirements into technology solutions.
•Lead POCs and help our customers in choosing the right technologies to solve the business problems.
•Lead designing of all aspects of our data solution including artifact creation such as diagrams, playbooks, and other technical documents.
•Mentor and guide Jr. team members to deliver the solutions on-time.
•Create various architecture blueprints and, be part of and work with the development team to deliver the vision.

Skills:
•Over all 12 to 15 years of experience with Data Management, Big Data and Analytics.
•At least 4 to 5 years of experience in architecting and implementing cloud native data solutions.
•At least 4 to 5 years of experience with big data using spark and java for data processing.
•Apache Spark experience using Scala or PySpark or pre-packaged tools like Databrick is plus.
•At least 3 years of experience in implementing the data solutions on MS Azure using Azure Data Factory, MS Synapse.
•Experience in building and using ARM templates to provision and manage IaC.
•Experience in implementing Big Data platform using event-based architecture.
•One to two years of experience in Azure Synapse Analytics is plus.
•At least one year experience with unified data governance solution using MS Purview.
•Developing the CICD pipeline for Azure Infrastructure, version control strategy and Integrate source control (Azure repos)
•Experience with java programming is a plus.
•Extensive hands-on experience in designing and tuning ETL/ELT process development by using cloud native technologies.
•In-depth understanding of various storage services offered by Azure.
•Experience with implementation of data security, encryption, PII/PSI legislation, identity and access management across sources and environments.
•Experience with data process Orchestration, end-to-end design and build process of Near-Real Time and Batch Data Pipelines.
•Certification in Azure data engineering and solution architecture Azure is must.
•Strong client-facing communication and facilitation skills.