Data Solutions Architect

at  BitPeak

DATA SOLUTIONS ARCHITECT

The person in this role will collaborate with project teams responsible for developing advanced Data Lakehouse, Business Intelligence, and Advanced Analytics solutions in cloud environments. Working in an international setting, they will specialize in the latest technologies in this field.
Warsaw
Hybrid/Remote

REQUIREMENTS

Minimum 5 years of experience in designing and building Business Intelligence, ETL/ELT, Data Warehouse, Data Lake, Data Lakehouse, Big Data, OLAP class solutions.
Practical knowledge of various relational (e.g., SQL Server, Oracle, Redshift, PostgreSQL, Teradata) and non-relational database engines (e.g., MongoDB, Cosmos DB, DynamoDB, Neo4j, HBase, Redis, InfluxDB).
Strong proficiency in SQL and Python (minimum 5 years of experience).
Familiarity with data engineering and orchestration tools, particularly Spark/Databricks (including structured streaming mechanisms, DLT, etc.), Hadoop/CDP, Azure/Fabric Data Factory, Apache Flink, Apache Kafka, Apache Airflow, dbt, Debezium, and more.
Understanding of data governance, data quality, and batch/streaming data processing challenges.
Knowledge of architectural patterns in data, including Data Mesh, Data Vault, Dimensional Modeling, Medallion Architecture, and Lambda/Kappa Architectures.
Proficiency in using git repositories (Bitbucket, GitHub, GitLab).
Experience with data services on the Azure and/or AWS platforms.
Flexibility, self-reliance, and efficiency, with a strong sense of responsibility for assigned tasks.
Practical knowledge of English at a minimum B2 level (C1+ preferred).

Designing new solutions and proposing initiatives to enhance existing solutions within data platforms, both in response to business-driven functional changes and technology-driven architectural changes.
Coordinating architectural decisions with client-side Architects and other vendors.
Managing a team of Data Engineers (responsible for the development of data platforms and ETL/ELT processes) and Data Analysts (responsible for data modeling and report development) on BitPeak’s side across multiple projects running concurrently for the same client, while collaborating closely with Project Managers.
Optimizing the data solution production process through process improvements and tool adjustments, including code management, testing, documentation, and selecting development tools.
Ensuring compliance with existing platform development standards, establishing new ones where gaps are identified, and continually improving them.
Guaranteeing the quality of delivered solutions by conducting code reviews.