We are currently in search of a Data Solution Architect to join our dedicated team. In this challenging role, you will be expected to leverage innovative and scalable technology solutions to address complex business needs. If you are a dynamic problem solver with a strong technical background and leadership skills, adept at facilitating project management and working as a team collaborator, we welcome your application.

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Responsibilities

• Craft proposals for the implementation and design of scalable big data architecture
• Engage in customer workshops and present proposed solutions
• Design, implement, and deploy high-performance, custom applications on Hadoop at scale
• Define and develop network infrastructure solutions that address scaling needs and increasing traffic volumes
• Standardize business and development processes, tools, and platforms for data acquisition, storage, transformation, and analysis
• Design roadmaps and implementation strategies for data science initiatives including recommendation engines, predictive modeling, and machine learning
• Conduct audits and reviews of existing solutions, designs, and system architecture
• Profile and troubleshoot existing solutions
• Generate technical documentation

• A minimum of 7 years' experience in Python or Scala development
• At least 2 years in a technical leadership role
• Demonstrated success in at least 2 projects involving ground-up system design and architecture
• A minimum of 1 year as a Data Solution Architect or similar role
• Strong SQL experience
• Demonstrable hands-on experience in ETL and DWH processes
• Past participation in designing, developing, and maintaining a distributed application
• Experience with major big data technologies and frameworks including but not limited to Hadoop, MapReduce, Apache Spark, Hive, Kafka, Apache Flink, Flume, ZooKeeper, HBase, and Cassandra
• Experience with big data solutions developed in large cloud computing infrastructures such as Amazon Web Services, Azure Cloud, or Google Cloud
• Experience in client-driven large-scale implementation projects
• Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines, Search Personalization, Deep Learning)
• Profound understanding of Agile (Scrum), RUP programming process
• Strong experience in application design, development, and maintenance
• Practical expertise in performance tuning and optimization, bottleneck problem analysis
• Proficient English Communication skills (C1+)

• Solid grasp of design patterns, refactoring concepts, unit tests, and CI/CD
• Experience with vertical and horizontal scaling strategies
• Familiarity with containerization technologies like Docker or Kubernetes