Data Architect

2 months ago

Milton Keynes, United Kingdom Saunders Scott Full time

  • Database Management: Maintaining the database by determining structural requirements and developing and installing solutions. Recommending upgrades and systems for purchase. Troubleshoot and find solutions for computer systems issues that affect data storage as they arise.
  • Data Security: Ensuring the security of all information and computer systems and digital data. Ensuring adherence to government regulations and guidelines for technological systems and safeguarding of data.
  • Financial Forecasting: Meeting information architecture financial objectives by forecasting requirements, preparing budgets, scheduling expenditures, analyzing variances, and initiating corrective actions.
  • Data Architecture: Defining infrastructure for design and integration of internet computing systems by analyzing information requirements, studying business operations and user-interface requirements, and directing development of physical database. Determining platform architecture, technology, and tools. Improving architecture by tracking emerging technologies and evaluating their applicability to business goals and operational requirements.
  • Strategic Planning: Study organizational mission, goals, and business drivers, and confers with senior management to understand information requirements. Achieve ecommerce information architecture operational objectives by contributing information and recommendations to strategic plans and reviews, preparing and completing action plans, implementing production and quality standards, resolving problems, identifying trends, determining system improvements, and implementing change.


  • Bachelor’s degree (in any field).
  • MSc/BE/Masters with specialization in IT/Computer Science is desirable.
  • 12-15+ years of work experience.
  • Should have telecom and fibre domain knowledge.
  • Good skills and strong data engineering and Machine learning as well.
  • 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.
  • They should have worked on Snowflake data warehouse.
  • If they are technically hands on also huge plus, GenAI will also be a good add on skills.
  • 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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