Data Architect

The person in this role will work with project teams developing a modern data platform in a cloud environment for global brands. They will work in an international environment and specialise in the architecture of cloud-based Big Data, Business Intelligence solutions and the latest technologies in this area and promote the principals of the DataOps manifesto.

Warsaw Hybrid/Remote

Requirements

Minimum 5 years of experience in designing and building Business Intelligence, ETL/ELT, Data Warehouse, Data Lake, Big Data solutions
Practical knowledge of various relational (e.g. SQL Server/SQL Database, Oracle, Redshift, PostgreSQL) and non-relational (e.g. MongoDB, CosmosDB, DynamoDB, Neo4j) database engines
Very good knowledge of SQL and Python (min. 5 years' experience)
Knowledge of process orchestration and data processing solutions, in particular: Spark/Databricks (including structured streaming mechanisms, Delta Lake, etc.), Snowflake, Azure Data Factory, Apache Airflow, dbt
Understanding of the following areas: data governance, data quality, data visualisation
Data modelling skills (Star schema / Lakehouse / Medallion / Data Vault / Data Mesh / Common Data Model / Corporate Data Model)
Advanced skills in the use of git repositories (Bitbucket/GitHub)
Familiarity and experience with data services offered by the Azure and/or AWS platform
Flexibility, self-reliance and efficiency in action, as well as responsibility for assigned tasks
Knowledge of CI/CD issues and experience in configuring them
Knowledge of issues and specialised solutions in the area of Data Governance
Experience in conducting code-review, managing a team, delegating tasks
Practical knowledge of English at a level of min. B2 (C1+ preferred)

Responsibilities

Coming up with improvement initiatives in existing solutions and designing new solutions
Coordinating architectural arrangements with Architects on the client side and other vendors
Coordinating the work of a team of Data Engineers (responsible for the development of data platforms and ETL/ELT processes) and Data Analysts (responsible for the data model and report development) on the BitPeak side across multiple projects running in parallel for the same client; working closely with Project Managers
Optimisation of the production process through process and tool changes
Enforcing and improving platform development standards, as well as setting them (where gaps are identified)
Ensuring quality of delivered solutions, conducting code review
Working "at the grassroots" as Data Engineer and Data Analyst (to stay in touch with the technology)
Keeping up to date with current trends, tools, services in the Data area

We offer

Global projects in multiple clouds - we work with clients from all over the world based on modern cloud technologies
Certification reimbursement - we fund exams, certifications from Microsoft, AWS, Databricks, Snowflake
Time to learn - 60 paid hours per year
Flexible approach - you can choose to work from home or meet at our offices
Personalized benefits - medical care, subsidized sports packages, language tuition, new employee referral bonus (up to PLN 15,000) as well as annual and media bonus

If you are interested in the offer, send your CV

Apply

Aleksandra Ludwiczuk

Junior HR Specialist

aleksandra.ludwiczuk@bitpeak.com

Behind every project are passionate individuals working together toward a common goal. Collaboration opens doors to new solutions and breakthroughs in data. I am convinced of the power of team and openness to new challenges in the world of data. By supporting each other, we can accomplish great things together and build lasting success.

Still have questions about working for BitPeak? Write to us!

Krzysztof K. Zdeb

Chief Delivery Officer

krzysztof.zdeb@bitpeak.com

Technical competence, initiative, ability to innovate and problem solve - those are qualities important for every Data Architect and things I look for in my team. Our job is to make sure everything runs smoothly and to the highest standard. If you think you can do that - join us!