TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.
We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.
We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.
About the teamWe are looking for a highly experienced Data Architect to design, evolve, and manage our enterprise data architecture.
In this role, you will work closely with Backend, Solution, and Infrastructure architects to define standards and ensure our financial data streams are easy to connect, reliable, and cost-effective. You will act as a strategic leader—facilitating Architecture Review Boards, creating Architecture Decision Records (ADRs), and mentoring data engineers and analysts.
If you are passionate about building reliable real-time financial data streams, want to influence our company-wide data strategy, and are eager to prepare our infrastructure for AI/ML innovations, we would be happy to meet you..
ResponsibilitiesDesign and evolve the corporate data architecture, including real-time streaming pipelines and Data Lakes.
Participate in and facilitate Architecture Review Boards to establish data standards, best practices, and cross-functional alignment.
Develop Architecture Decision Records (ADRs) covering Data Tiering, Data Retention & Lifecycle Policies, Data Quality Metrics, and Master Data Management.
Build Data Lineage and centralized data ownership processes using metadata tools.
Define, negotiate, and monitor SLA/SLO for data-related metrics, managing the overall Data Quality Program.
Make well-reasoned technological choices for data storage (Data Warehouses, Data Lakes, Lakehouses) balancing functional requirements with financial optimization.
Formulate long-term data strategies and prepare the infrastructure for AI/ML adoption (AI-Ready Lakehouse, semantic layer, Feature Stores, ML pipelines).
Collaborate with cross-functional teams and present architectural proposals to the Chief Architect and CTO.
Mentor data engineers and analysts to elevate the team’s engineering practices
10+ years of experience in similar large-scale organizations working with geo-distributed architectures, hundreds of services, and petabytes of data.
Expert-level SQL skills and deep knowledge of Data Warehouses (e.g., Redshift, BigQuery, Snowflake, Azure Synapse) and Data Lakes/Lakehouses.
Strong background in real-time data delivery, with deep knowledge of Change Data Capture (Debezium, native CDC, AWS DMS) and streaming platforms (Apache Kafka, Kinesis, Pub/Sub).
Hands-on experience with data processing tools such as Spark, Flink, and dbt.
Deep experience with at least one AI/ML ecosystem (e.g., AWS Redshift + SageMaker, GCP BigQuery + Vertex AI, Databricks MLflow, or Snowflake Intelligence).
Practical experience with Data Governance, Data Quality monitoring (e.g., Great Expectations), and infrastructure tools (Docker, Kubernetes, Terraform, CI/CD).
Strong communication skills, with a track record of integrating analytical storage with RDBMS (PostgreSQL) and NoSQL databases.
English proficiency at B1 level or higher.
Strong command of Russian is required.
Flexible working hours and a hybrid work format
Well-equipped offices for focused and collaborative work
A global, distributed team of 500+ professionals
Learning, mentorship, and long-term career growth
Relocation support and private health insurance
Performance-based bonuses
TradingView Premium access
Regular team events and company-wide meetups
Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!
TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.