Data Architect

July 24

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Intellectsoft

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Engineering Your Vision

Custom Software Development • Mobile App Development • Enterprise solutions • Team Extension • Dedicated Teams

51 - 200

Description

• Design and implement scalable data architectures using various data technologies, including Apache Kafka, Databricks, MongoDB, Snowflake, and other market-leading tools. • Develop and implement data mesh architectures to decentralize data ownership and facilitate data sharing across various teams. • Design and manage data catalogs using tools like Alation, Informatica, or Collibra to improve data discovery, governance, and metadata management. • Develop detailed architecture blueprints and documentation that outline system components, data flows, and security protocols. • Create integration strategies for various data sources and systems, ensuring seamless data flow and interoperability. • Design and implement data warehousing solutions to consolidate data from multiple sources. • Develop ETL processes using tools such as Apache NiFi, Talend, or Informatica. • Implement big data technologies like Hadoop, Spark, and Flink to handle large-scale data processing and analytics. • Work with relational databases to support diverse data storage and retrieval needs. • Work with graph databases to support complex relationship and network analysis. • Ensure compliance with industry standards and regulations (e.g., GDPR, HIPAA, CCPA). • Implement security best practices using identity and access management tools and encryption technologies. • Monitor and optimize system performance for high availability, reliability, and responsiveness. • Provide technical guidance and support to development teams, ensuring architectural alignment with business goals. • Collaborate with stakeholders, including business leaders and technical teams, to gather requirements and define solution specifications. • Stay updated with the latest advancements in data architecture and tools. • Continuously improve data architecture processes and methodologies by leveraging new technologies.

Requirements

• Extensive experience with various data technologies, including Apache Kafka, Databricks, MongoDB, Snowflake, and other market-leading tools. • Strong understanding of data architecture, infrastructure design, and best practices. • Proficiency in designing and implementing scalable, secure, and high-performance data solutions. • Experience with data mesh architectures and data catalog tools like Alation, Informatica, or Collibra. • Experience with big data technologies such as Hadoop, Spark, and Flink. • Experience with data modeling, database design, and ETL processes. • Proficiency with relational databases (e.g., MySQL, PostgreSQL). • Proficiency with graph databases (e.g., Neo4j). • Knowledge of data security best practices and compliance requirements. • Strong problem-solving skills and ability to troubleshoot and resolve complex technical issues. • Excellent communication skills for interacting with stakeholders at all levels. • Ability to work collaboratively in a team environment. • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. • Several years of experience in data architecture, data engineering, or a related role.

Benefits

• 35 paid absence days per year for work-life balance of each specialist + 1 additional day for each following year of cooperation with the company • Up to 15 unused absence days can be added to income after 12 months of cooperation • Health insurance for you • Depreciation coverage for personal laptop usage for project needs • Udemy courses of your choice • Regular soft-skills trainings • Excellence Centers meetups