Position: Data Architect
Company: GT
Experience required: 5y
English level: upper

On behalf of Eagle Genomics, GT is looking for Data Architect to join their newly created R&D in Kyiv.

Eagle Genomics is a pioneering company working at the intersection of two exciting areas: life sciences and data science. The exploration into the microbiome is inspiring a new view of biology. Breakthrough research into how microbes interact with humans, animals, and natural ecosystems is creating a wealth of vital data and insight into health, wellbeing, and environmental sustainability. At Eagle Genomics, we operate at the intersection of biology, technology, and data to deliver microbiome discoveries that profoundly change our understanding of wellness and even our fundamental assumptions about life on earth. Our Network Science platform, the e[datascientist], drives novel microbiome insights in ever more accessible, intelligent and relevant ways. Through our blend of scientific expertise, advanced AI, and a genuinely curious and free-thinking culture we empower breakthrough possibilities in the true life-changing areas of study.

These are exciting times at Eagle Genomics. We’re at the center of the digital reinvention of life sciences R&D, using the latest technologies to enable data-driven discovery. As we plan for ambitious, accelerated growth, we have expanded our network of offices in technology and innovation hubs around the world: in the UK, Germany, India, the US, and France. So the stage is set to make great steps forward.

As we continue on our exciting and pioneering journey at the forefront of life sciences and data science, we are looking for a Senior Data/Information Architect who has extensive and strong experience in providing robust solutions in data and information architecture and management from conceptual to physical implementation.

Reporting to Director of Data Strategy, this role will see you taking responsibility in architecting, implementing, and managing enterprise solutions around big data especially in cloud environments with distributed, scalable, fault-tolerant, and secure data storage, data ingestion, integration, retrieval, and data analytics

You will be responsible for:

- Acting as the design authority within the engineering team and the platform development for data considerations.
- Designing data management and engineering solutions for data-intensive systems.
- Defining best practices, patterns and architectural styles for data management and engineering (data ingestion, transformation and integration).
- Mapping the data product vision to the required data solutions and technologies by ensuring genericity, performance, reliability, resilience and security models and sources.
- Recommend and implement secure and regulatory compliant data practices and solutions.
- Working with SME’s to catalog and organize data sources across the business by domain.
- Work with SME’s and data modeler to build a generic and systematic data modeling approach and solution that cater to diverse data sources.
- Working with the data engineers to ingest, transform, and onboard the identified data sources.
- Championing a Data-as-an-Asset mindset across the engineering team.
- Continuously searching for advanced technology and data architectural methods, practices, and technologies and champion these practices across the organization.
- Ability to mentor and build high-performing data engineers.
- Ability to think and implement strategic and tactical data solutions to business.

Your essential Knowledge, Skills & Experience:

- Experience in architecting, designing, integrating, and understanding the characteristics and specificities of data-intensive systems (aka Big Data).
- Experience in Data modeling at Conceptual, logical, and Physical based on domain and business needs.
- Proficiency and understanding of relational, non-relational, and graph database technologies.
- Hands-on experience in handling large and varied data sets, data preparation, data processing, and data analytics of large data sets.
- Experience in designing and implementing effective solutions for /managing data governance and data policies.
- Experience in ETL, Data Migration, Data Import, and Export.
- Distributed systems to relational or graph databases.
- Experience in implementing Enterprise data management solutions in the cloud.

Desirable skills and experience:

- 5+ years of experience in data architect and design of data management solutions.
- Experience in any of the data architecture like kappa, lambda or delta is a big plus.
- Hands-on experience in SQL (Oracle or MS SQL), no-SQL (MongoDB).
- Experience in implementing security policies or standards like ISO, GDPR, or HiTrust.
- Experience in Graph databases (neo4j or grakn) is an advantage
Experience Microsoft Azure Databricks, Data Factory, HDInsight, Hadoop, HBase.
- Experience in implementing Azure or Aws Data lakes and analytics.
- Understanding /Experience in Apache Spark SQL, Graphx, Streaming.
- Experience in any Program language Python or Scala or R.
- Implementing in cloud infrastructure. cloud data storages (blobs or buckets), be it Azure or Aws or both.
- Experience in various licensed or open ETL technologies like Azure datafactory, AWS glue, or Apache Nifi.
- Experience in using Azure or Aws provided ML engines, Power BI to implement analytics.
- Any certifications or accreditations related to database design, Azure, or Aws data architect is desirable.

What we offer:

— An opportunity to co-create valuable innovative solutions for millions of users globally.
— Flexible schedule, a mix of remote and office work.
— Cutting edge office in the center of Ukraine’s first innovation park — Unit.City.
— Medical insurance.
— Monthly commute allowance or free parking space.
— Best-in-class IT equipment mirroring our client set-up.
— Monthly education allowance for courses, training, books, events.
— Gym membership, after-work activities.
— Daily lunches in the office