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Azure Data Architect

5 hours, 49 minutes ago
Poland
Full-time
Senior
Data Architect
Data Science and Analytics
Apache Spark AWS Azure Cassandra CI/CD Generative AI MongoDB MySQL Oracle Python R Scala SQL Server
Apply Now
Lingaro

Lingaro

Lingaro Group is a leading end-to-end data services partner specializing in Business Intelligence and Data Warehouse solutions. With a focus on digital transformation, Lingaro provides technology-enabled solutions to Fortune 500 enterprises and global ...

IT Services
5001+
Founded 2008
View All Jobs 3

Description

  • Define business vocabulary, strategic data requirements, and high-level integrated data designs.
  • Establish data governance policies, procedures, standards, and classification guidelines to support integrity and compliance.
  • Create conceptual, logical, and physical data models aligned with business requirements and data strategy.
  • Document current and target business processes, data journeys, data inventories, and source-to-target mappings.
  • Design and oversee data platforms spanning relational and NoSQL databases, data warehouses, data lakes, and Big Data solutions.
  • Design ETL processes and data pipelines, and identify opportunities for data acquisition with IT and data experts.
  • Optimize database performance, data security, backup and recovery, and scalable data-model design.
  • Implement data profiling, cleansing, and quality-monitoring processes to resolve data issues.
  • Facilitate requirements workshops and communicate data concepts to technical and non-technical stakeholders.
  • Recommend emerging data technologies and provide technical guidance, training, and knowledge sharing to team members.

Requirements

  • At least 6 years of professional experience in Data & Analytics, including experience as a Data Architect or similar role in a complex organization.
  • Expertise in data modeling and design, data management, database design, and data integration flows.
  • Experience developing data governance policies and frameworks for data integrity and compliance.
  • Ability to design conceptual, logical, and physical data models using normalization, denormalization, generalization, and performance-optimization techniques.
  • Experience with relational databases such as Oracle, SQL Server, or MySQL, and NoSQL databases such as MongoDB, Cassandra, or DynamoDB.
  • Knowledge of data warehousing, Big Data solutions, cloud-based database, warehouse, and lakehouse platforms.
  • Experience designing ETL processes, data pipelines, and data integration patterns.
  • Hands-on experience with Azure Synapse, Azure Data Factory (ADF), and Azure Data Lake (ADL).
  • Proficiency in one of Python, PySpark, R, or Scala.
  • Knowledge of data quality, profiling, cleansing, harmonization, security, privacy regulations such as GDPR or CCPA, encryption, access controls, and data masking.
  • Strong requirements-gathering, analytical, communication, stakeholder-management, and technical-leadership skills.
  • CI/CD automation, GenAI for Data Engineering, and a data-management certification are advantageous.

Benefits

  • Remote or office-based work, with flexible working hours and contract type.
  • Workation opportunities under the company policy.
  • Comprehensive online onboarding with a buddy from day one.
  • Unlimited Udemy access, certificate training, and 110+ annual learning and upskilling opportunities.
  • Collaboration with experienced engineers and experts, plus internal knowledge-sharing communities.
  • Referral bonuses.
  • Well-being and health-support activities.
  • Modern office equipment provided or available to borrow, depending on location.

Interested in this position?

Apply directly on the company website

Apply Now

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