Chief Data Infrastructure Architect
2 tygodni temu
We are looking for a highly skilled Chief Data Infrastructure Architect to join RITS remotely and contribute to one of the exciting projects within a global, American market-leading trading platform.
RITS operates in a unique partnership model where we consider our consultants as valued clients. As an exclusive Polish vendor for this client, a stable company with over 25 years of experience, we provide services to help world-leading asset managers, central banks, hedge funds, and other institutional investors access liquidity through electronic marketplaces, facilitating trades worth approximately 30 trillion dollars per month.
Responsibilities:
- Design, build, and manage data infrastructure using public cloud platforms (AWS and GCP), Kafka, databases, and containers;
- Collaborate with data engineers to provide platform infrastructure support;
- Develop and operate Kafka messaging clusters;
- Optimize application performance around the messaging platform;
- Assist in building and managing K8s clusters and cloud environments;
- Build and run ETL pipelines for data onboarding, define schema, build DAG processing pipelines, and monitor data quality;
- Support the development of machine learning frameworks and pipelines;
- Oversee mission-critical production services.
We offer:
- A salary range: 26,880 - 35,000 PLN on B2B +VAT without paid vacations depending on experience and technical testing;
- 100% remote job;
- Flexible working hours: starting from 12:00 or ideally 2 PM CET to overlap with the US team in the Eastern Time zone;
- Budget for materials and hardware: standing desks, laptops, monitors or screens, WeWork-type workspaces, etc.;
- Free private medical insurance OR Medicover Sport Membership;
- Ready integration into the team ASAP;
- Long-term cooperation;
- Integration trips to NY/London/Warsaw several times a year for 3-4 days (non-mandatory, expenses covered).
Requirements:
- 3+ years of experience in Platform Engineering roles (System Engineer, DevOps Engineer, etc.)
- Strong software engineering expertise and proficiency in Python
- Experience working with SQL and databases/engines such as MySQL, PostgreSQL, SQL Server, Snowflake, Redshift, Presto, etc.
- Expertise in building ETL and stream processing pipelines using Kafka, Spark, Flink, Airflow/Prefect, etc.
- Familiarity with data science tools: Juypter, Pandas, Scikit-learn, Dask, Pytorch, MLFlow, Kubeflow, etc.
- Proficiency in AWS/GCP (S3/GCS, EC2/GCE, IAM, etc.), Kubernetes, and Linux in production environments
- Strong inclination towards automation and DevOps practices
- Ability to handle increasing data volume, velocity, and variety
- Agile, self-starter focused on delivering results
- Strong communication skills
- Participation in on-call rotations outside regular business hours
Nice to have:
- Development skills in C++, Java, Go, Rust
- Understanding of TCP/IP and distributed systems
- Experience managing time series data
- Familiarity with open-source communities
- Financial Services experience
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