Data Architect

4 days ago

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Intellectsoft

Intellectsoft is a leading software development company that has been empowering businesses since 2007 with custom software solutions. Specializing in full-cycle, end-to-end development services, Intellectsoft helps enterprises, startups, and SMBs launch and scale their digital products, ensuring improved experiences for their customers and employees. With a presence in over 20 countries, Intellectsoft provides expertise in mobile app development, enterprise software solutions, digital transformation, and intelligent automation technologies such as AI, Blockchain, and IoT. The company serves a wide range of industries, including Fintech, Healthcare, Automotive, and Construction, and is trusted by Fortune 500 companies and leading brands worldwide for their software needs.

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

📋 Description

•Intellectsoft is a software development company delivering innovative solutions since 2007. •We operate across North America, Latin America, the Nordic region, the UK, and Europe. •We specialize in industries like Fintech, Healthcare, EdTech, Construction, Hospitality, and more, partnering with startups, mid-sized businesses, and Fortune 500 companies to drive growth and scalability. •Our clients include Jaguar Motors, Universal Pictures, Harley-Davidson, Qualcomm, and London Stock Exchange. •Together, our team delivers solutions that make a difference. Learn more at www.intellectsoft.net

🎯 Requirements

•7+ years of experience in data architecture, engineering, and database design. •Expertise in data lakes, data warehousing, ETL/ELT processes, and big data technologies. •Strong knowledge of Apache Kafka, NiFi, Spark, PostgreSQL, ClickHouse, Apache Iceberg, and Delta Lake. •Experience with data modeling, schema design, and performance tuning for analytical workloads. •In-depth understanding of data security, governance, access control, and compliance (e.g., GDPR, SOC 2). •Familiarity with cloud services (AWS, GCP, Azure) for data storage, processing, and orchestration. •Hands-on experience with Kubernetes, Docker, and infrastructure-as-code (Terraform, Ansible) for deployment and automation. •Ability to optimize query performance and handle large-scale distributed data processing. •Knowledge of real-time data processing and streaming architectures. •Experience with Metabase, Grafana, or other monitoring tools for data observability and analytics. •Strong problem-solving skills and ability to design highly scalable, fault-tolerant solutions. •Experience in collaborating with data scientists, engineers, and business analysts to ensure seamless data integration and usability.

🏖️ Benefits

•35 absence days per year for work-life balance •Udemy courses of your choice •English courses with native-speaker •Regular soft-skills trainings •Excellence Сenters meetups •Online/offline team-buildings

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