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Azure Big Data Solutions Architect
2 months ago
FalconSmartIT is seeking a highly skilled Azure Big Data Architect to join our team. As a key member of our data engineering team, you will be responsible for designing and implementing cloud-native data solutions that meet the needs of our clients.
Key Responsibilities:
- Develop and implement data architecture roadmaps that support our clients' Azure data and advanced analytics initiatives.
- Collaborate with cross-functional teams to define the scope and sizing of data solutions.
- Work closely with enterprise architects, information security teams, and data management teams to ensure that architected solutions meet all customer needs.
- Translate business requirements into technology solutions that drive business value.
- Lead proof-of-concepts and help our clients choose the right technologies to solve business problems.
- Design and implement data solutions, including artifact creation such as diagrams, playbooks, and technical documents.
- Mentor and guide junior team members to deliver solutions on-time.
- Create architecture blueprints and work with the development team to deliver the vision.
Requirements:
- 12-15 years of experience in data management, big data, and analytics.
- 4-5 years of experience in architecting and implementing cloud-native data solutions.
- 4-5 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 Databricks is a plus.
- 3 years of experience in implementing data solutions on MS Azure using Azure Data Factory.
- Experience in building and using ARM templates to provision and manage IaC.
- Experience in implementing big data platforms using event-based architecture.
- 1-2 years of experience in Azure Synapse Analytics is a plus.
- 1 year of experience with unified data governance solutions using MS Purview.
- Developing CICD pipelines for Azure Infrastructure, version control strategy, and integrating source control (Azure repos).
- Experience with Java programming is a plus.
- Extensive hands-on experience in designing and tuning ETL/ELT process development using cloud-native technologies.
- In-depth understanding of various storage services offered by Azure.
- Experience with 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 is a must.
- Strong client-facing communication and facilitation skills.
Qualifications:
- BE/BTech in Computer Science, Engineering, or relevant field.