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Data Architect

18 hours, 9 minutes ago
Poland
Full-time
Lead
Data Architect
Data Science and Analytics
Agile Apache Airflow Apache Spark AWS Azure Databricks GCP Hadoop Kafka MongoDB New Relic Oracle Snowflake Splunk SQL SQL Server
Apply Now
Infosys

Infosys

Infosys specializes in providing comprehensive consulting and IT services that facilitate digital transformation for clients across various industries, leveraging advanced technologies and innovative solutions to enhance business processes and drive me...

Internet Software & Services
100K+
Founded 1981
View All Jobs 9

Description

  • Design and implement scalable, secure, and optimized data solutions aligned to business requirements and strategic goals.
  • Evaluate clients’ existing data estates, diagnose issues, and propose appropriate solutions.
  • Collaborate with clients and cross-functional teams to understand data needs and provide architecture and data management advice.
  • Develop data models, data flow diagrams, and data dictionaries.
  • Oversee ingestion and integration of data from multiple sources into enterprise data platforms.
  • Conduct data quality assessments and implement data governance processes and best practices.
  • Provide technical guidance and mentorship to data engineers and other team members.
  • Identify and mitigate data-related risks throughout the project lifecycle.
  • Gather, validate, synthesize, document, and communicate data and information for both technical and non-technical audiences.
  • Stay current with emerging trends and technologies in data architecture and data management.

Requirements

  • 10+ years of experience in data architecture, database management, and data modelling.
  • Proven experience as a Data Architect.
  • Strong knowledge of software development methodologies, tools, and frameworks, particularly Agile.
  • Proficiency with SQL and NoSQL database management systems.
  • Experience with technologies such as SQL Server, Oracle, MongoDB, Cosmos DB, Snowflake, and Databricks.
  • Hands-on experience with data modelling tools, data warehousing, ETL processes, and data integration techniques.
  • Experience with at least one cloud data platform, such as AWS, Azure, or Google Cloud.
  • Experience with big data technologies such as Hadoop and Spark.
  • Strong knowledge of data workflow solutions such as Azure Data Factory, Apache NiFi, or Apache Airflow.
  • Knowledge of stream and batch processing tools such as Apache Flink and Apache Kafka.
  • Knowledge of log management, monitoring, and analytics tools such as Splunk, Elastic Stack, or New Relic.
  • Broad business skill set including stakeholder management, problem-solving, and resilience.
  • Ability to communicate data and information effectively to non-technical audiences.
  • Willingness to travel for project-related work.

Benefits

  • Industry-leading compensation and benefits.
  • Top training and development opportunities.
  • Opportunity to work in a growing Data & Analytics practice using innovative technologies.
  • Inclusive and entrepreneurial culture.
  • Global reach and the ability to work with clients throughout their transformation journey.
  • Exposure to diverse sectors and market-leading brands.
  • Recognized employer with strong career paths and professional development support.

Interested in this position?

Apply directly on the company website

Apply Now

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