Azure Data Architect
2 weeks ago
About the Role
We are seeking an experienced Data Strategy Lead to join our team as a Cloud Architect Expert. As a key member of our data team, you will play a critical role in developing and implementing a data strategy that meets enterprise needs and industry requirements.
Key Responsibilities
- Develop a data strategy that aligns with the company's overall business goals and objectives.
- Create a comprehensive inventory of the data necessary to build and implement a data architecture.
- Envision and design data pipelines that ensure seamless data flow through the data landscape.
- Evaluate current data management technologies and identify areas for improvement.
- Determine upgrades and improvements to current data architectures.
- Design, document, build, and implement database architectures and applications.
- Build data models for database structures, analytics, and use cases.
- Develop and enforce database development standards with solid DB/Query optimization capabilities.
- Integrate new systems and functions like security, performance, scalability, governance, reliability, and data recovery.
- Research new opportunities and create methods to acquire data.
- Develop measures that ensure data accuracy, integrity, and accessibility.
- Continually monitor, refine, and report data management system performance.
Requirements
- Extensive knowledge of Azure, GCP clouds, and DataOps Data Eco-System.
- Hands-on expertise in systems like Snowflake, Synapse, SQL DW, BigQuery, and Cosmos DB.
- Azure Data Factory, Dataiku, Fivetran, Google Cloud Dataflow.
- Hands-on experience in working with services/technologies like Apache Airflow, Cloud Composer, Oozie, Azure Data Factory, and Cloud Data Fusion.
- Well-versed with Data services, integration, ingestion, ELT/ETL, Data Governance, Security, and Meta-driven Development.
- Expertise in RDBMS (relational database management system) – writing complex SQL logic, DB/Query optimization, Data Modelling, and managing high data volume for mission-critical applications.
- Strong grip on programming using Python and PySpark.
- Clear understanding of data best practices prevailing in the industry.
- Preference to candidates having Azure or GCP architect certification.
- Strong networking and data security experience.
Awareness of the Following
- Application development understanding (Full Stack).
- Experience on open-source tools like Kafka, Spark, Splunk, Superset, etc.
- Good understanding of Analytics Platform Landscape that includes AI/ML.
- Experience in any Data Visualization tool like PowerBI / Tableau / Qlik /QuickSight etc.
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