Skip to content

Istanbul, Turkey

Solutions Architect – Big Data

Full-Time

Come join us and be part of our exciting journey at Dataroid!

The award-winning digital analytics and customer engagement platform Dataroid empowers leading brands to better understand every individual customer experience and take real-time actions. Leveraging unified customer data platform, behavioral analytics, application monitoring, and data science modelling capabilities, Dataroid enables marketers, product owners, and technology professionals to gain real-time visibility of customer journeys and gather customer intelligence.

As Turkey’s most exciting and fast-growing data analytics platform, we welcome new challenges. We are curious to explore new technologies and ready to impact industries globally. We are on a mission to help businesses unleash the potential of digital with data and create seamless customer experiences across multiple channels. And we need a great team to do that!

At Dataroid, development is the heartbeat of our service offering. Our developers are technology enthusiasts who follow technology trends closely to be one step ahead all the time. Every day they use their technological know-how to create something new. By incorporating new technologies into product and service design, they help us create radically simple and seamless experiences.

Key Responsibilities

  • Writing well designed, reusable, testable and secure code by applying best software development practices
  • Designing and  implementing low-latency, high-availability and performant applications
  • Collaborating in a multi-disciplinary team
  • Participating and conducting code reviews
  • Discovering, learning and implementing new technologies
  • Mentoring junior team members in best practices

Qualifications & Experience

  • BSc/MSc/PhD degree in Computer Science or a related field or equivalent work experience
  • At least 7+ years of experience in Data Engineering and Solution Architect roles
  • Good understanding of fundamental design principles for a scalable application
  • Proficiency with data modeling, data architecture and data warehousing
  • Experience in designing, developing, testing and supporting real-time or batch data processing using Spark, Flink, Kafka or similar technologies
  • Experience with Hadoop components like HDFS, Hive, YARN
  • Experience with data workflow orchestration tools like Airflow, dbt or similar technologies
  • Familiarity with Presto, Trino or similar technologies
  • Experience with relational and non-relational data stores, key-value stores and search engines (Postgres, ScyllaDB, Druid, Hazelcast, Redis, Elasticsearch etc.)
  • Proficiency with Java, Scala or Python (preferred)
  • Strong unit test and debugging skills
  • Proficiency in code versioning tools such as Git
  • Strong sense of analytical thinking and problem-solving skills
  • Excellent attention to detail
  • Highly Effective time management and multitasking skills
  • Strong verbal and written communication skills

Nice to have

  • Experience with Service-oriented architecture, microservices and REST APIs
  • Experience in architecting, designing and implementing large scale systems
  • Proficiency in distributed systems and concurrent programming
  • Familiarity with Docker and/or Kubernetes
  • Working knowledge with Amazon Web Services , Google Cloud Platform, Microsoft Azure and/or any other cloud computing service provider
  • Experience or willing to learn large scale stream processing technologies
  • Prior experience with SCRUM/Agile methodologies

The enterprise level digital analytics and engagement platform Dataroid helps enterprises to enhance every individual customer experience through deep customer insight, data science modelling, and omnichannel marketing.

Dataroid is already used by medium to very large enterprises in financial services, airlines and retail to reshape the experience of over 100 million users.