Data Architect in Intellectsoft

Intellectsoft is a digital transformation consultancy that provides cutting edge engineering solutions for global organizations.Our mission is to help enterprises accelerate adoption of new technologies, untangle complex issues that always emerge during digital evolution, and orchestrate ongoing innovation. Established in 2007, the company is headquartered in New York and operates in multiple offices and engineering centers in the US, the UK, the Nordic region and Eastern Europe.Our main focus is on new and emerging technologies, such as Cognitive Computing, Decentralized Applications, and Internet-of-Things. Among our clients are globally recognized brand names, such as Universal Pictures, Jaguar Motors, Qualcomm, Ernst & Young, Clinique, Bombardier, London Stock Exchange, Harley-Davidson and many others.For more information please visit our website www.intellectsoft.net.We are seeking a skilled Data Architect to design, manage, and optimize our data solutions. The ideal candidate will develop comprehensive system architectures that centralize, integrate, maintain, and protect data sources, ensuring scalability, security, and alignment with business objectives.RequirementsExtensive experience with various data technologies, including Apache Kafka, Databricks, MongoDB, Snowflake, and other market-leading toolsStrong understanding of data architecture, infrastructure design, and best practicesProficiency in designing and implementing scalable, secure, and high-performance data solutionsExperience with data mesh architectures and data catalog tools like Alation, Informatica, or CollibraExperience with big data technologies such as Hadoop, Spark, and FlinkExperience with data modeling, database design, and ETL processesProficiency with relational databases (e.g., MySQL, PostgreSQL)Proficiency with graph databases (e.g., Neo4j)Knowledge of data security best practices and compliance requirementsStrong problem-solving skills and ability to troubleshoot and resolve complex technical issuesExcellent communication skills for interacting with stakeholders at all levelsAbility to work collaboratively in a team environmentBachelor's or Master's degree in Computer Science, Information Technology, or a related fieldSeveral years of experience in data architecture, data engineering, or a related roleNice to have skillsRelevant certifications in data architecture or technologiesFamiliarity with machine learning and data science tools and frameworksExperience with DevOps practices and tools (e.g., Jenkins, Docker, Kubernetes)Familiarity with serverless architectures and microservicesKnowledge of AWS data-related services (e.g., Amazon Redshift, AWS Glue, Amazon RDS, Amazon S3, Amazon DynamoDB)ResponsibilitiesDesign and implement scalable data architectures using various data technologies, including Apache Kafka, Databricks, MongoDB, Snowflake, and other market-leading toolsDevelop and implement data mesh architectures to decentralize data ownership and facilitate data sharing across various teamsDesign and manage data catalogs using tools like Alation, Informatica, or Collibra to improve data discovery, governance, and metadata managementDevelop detailedarchitecture blueprints and documentation that outline system components, data flows, and security protocolsCreate integration strategies for various data sources and systems, ensuring seamless data flow and interoperabilityDesign and implement data warehousing solutions to consolidate data from multiple sourcesDevelop ETL processes using tools such as Apache NiFi, Talend, or InformaticaImplement big data technologies like Hadoop, Spark, and Flink to handle large-scale data processing and analyticsWork with relational databases to support diverse data storage and retrieval needsWork with graph databases to support complex relationship and network analysisEnsure compliance with industry standards and regulations (e.g., GDPR, HIPAA, CCPA)Implement security best practices using identity and access management tools and encryption technologiesMonitor and optimize system performance for high availability, reliability, and responsivenessProvide technical guidance and support to development teams, ensuring architectural alignment with business goalsCollaborate with stakeholders, including business leaders and technical teams, to gather requirements and define solution specificationsStay updated with the latest advancements in data architecture and toolsContinuously improve data architecture processes and methodologies by leveraging new technologiesBenefits35 paid absence days per year for work-life balance of each specialist + 1 additional day for each following year of cooperation with the companyUp to 15 unused absence days can be add to income after 12 month of cooperationHealth insurance for youDepreciation coverage for personal laptop usage for project needsUdemy courses of your choiceRegular soft-skills trainingsExcellence Сenters meetups Show more Show less Посадовий рівень Старший середній рівень Тип зайнятості Повний робочий день Посадові обов’язки Інженерія Галузі Початкова та середня освіта і Некомерційні організації