Cloud Data Architect

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Octavian Macovei

IT Researcher | Lifelong learner on topics of sourcing, human behaviour, marketing and personal development. By completing the form below you will start a discussion with Octavian about our open roles that best fit your interests or about ideas in the sourcing field.

Posted:

Job Category: IT
Type: Full Time
Location: Remote
Level: Mid Senior
Status: Open

We are looking for an experienced Cloud Data Architectpassionate about building innovative digital commerce, to help in developing a cloud-native, composable commerce platform, that brings together concepts and strengths of microservices, multi-tenancy, APIs first and Headless approaches.

Our client, a growing product company, created by Hybris (SAP) founders, has the main purpose of developing its digital commerce platform to be the next enterprise-grade „Shopify”.

As a Cloud Data Architect, you will help deliver a new solution to the market, by building DataOps capability and contributing to the platform architecture.

What will you do?

  • Act as the key Data & Analytics technical leader;
  • Designing multi-tenant architecture solutions that are in line with long-term business objectives;
  • Creating high-level designs according to requirements and ensuring that a company’s data architecture aligns with its business needs;
  • Setup of SecOps and DataOps processes;
  • Grow a data science team to compare and analyse provided statistical information to identify patterns, relationships, and problems;
  • Perform hands-on data consulting, develop data-driven solutions, run workshops.

How is the work environment?

  • Start-up atmosphere with a partnership approach, independence;
  • An exciting and involving role with a significant impact on shaping the future of the company and the way they develop their software;
  • Room to innovate and help create a product that will make a difference;
  • Opportunity to build a successful company from the early stages, lead and define the technology strategy;
  • Creative freedom and exciting challenges in a highly competitive technology domain;
  • Flexible working hours;
  • Full remote work;
  • Choose the hardware and tooling you want to work with to achieve the best results.

Do you have experience with these?

  • A solid understanding of existing and emerging data technologies e.g (Hadoop, Spark, Redshift, Snowflake, Hive, Pig etc.);
  • Expertise with cloud technologies, cloud services, and key cloud services providers in the data space;
  • Experience with Cloud platforms (preferably GCP);
  • Experience with NoSQL database technology (e.g. MongoDB, Cassandra, CouchDB etc.);
  • Experience with Relational database technology (e.g. Postgresql/Mysql) and Online Analytical Processing (OLAP);
  • Experience with Enterprise Search solutions (e.g. Elastic/OpenSearch, SOLR, Algolia);
  • Experience with automation solutions and workflow management (e.g. Camunda, Cadence, Netflix Conductor);
  • Data visualisation tools such as Mode, Metabase, Redash;
  • Experience in Serverless and Containerised Deployments.

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