Data Architect
3 days ago
Job Summary:
Saunders Scott is seeking a highly skilled Data Architect to join our team. The ideal candidate will have a strong background in database management, data security, financial forecasting, and strategic planning.
Key Responsibilities:
Database Management:
Develop and implement database solutions to meet business requirements. Ensure data integrity and security by maintaining database structures and recommending upgrades. Troubleshoot and resolve data storage issues as they arise.
Data Security:
Ensure the security of all information and computer systems. Adhere to government regulations and guidelines for technological systems and safeguarding of data.
Financial Forecasting:
Meet financial objectives by forecasting requirements, preparing budgets, and analyzing variances. Initiate corrective actions to ensure financial goals are met.
Data Architecture:
Define infrastructure for design and integration of internet computing systems. Analyze information requirements, study business operations, and direct development of physical databases. Determine platform architecture, technology, and tools. Improve architecture by tracking emerging technologies and evaluating their applicability to business goals and operational requirements.
Strategic Planning:
Study organizational mission, goals, and business drivers. Confer with senior management to understand information requirements. Achieve operational objectives by contributing information and recommendations to strategic plans and reviews. Prepare and complete action plans, implement production and quality standards, resolve problems, identify trends, determine system improvements, and implement change.
Requirements:
Bachelor's degree (in any field). MSc/BE/Masters with specialization in IT/Computer Science is desirable. 12-15+ years of work experience. Telecom and fibre domain knowledge. Good skills and strong data engineering and Machine learning. Ability to talk to business, get the BRDs, conceive the requirements, and provide a solution for the same. Strong understanding of data governance, Data quality, and how they have implemented these processes. Experience working in multi-channel delivery projects is desirable. Technical knowledge in Telecom-Basics, T-SQL, PL-SQL, Tableau/ Power BI/Advanced Excel, R/SAS/ Python/Scala/Java, Azure (SQL Database, Cosmos Database, Data Lake Storage, PostgreSQL Database, Blob, Data Factory, Databricks, Analytic Tools, Stream Analytics, Synapse Analytics, Data Lake Analytics), and AWS (Analytics Services, Amazon Athena, Amazon EMR, Amazon Redshift, Amazon Kinesis, Amazon Openserach Services, Amazon QuickSight, AWS Glue DataBrew, Datalake, Amazon S3, Aws Lake Formation) is required.
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