Data Architect

Навыки

• AWS
• Azure
• BigQuery
• Data Governance
• Data Lake
• Data Quality
• Databricks

О компании и продукте

• We 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.
• TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.

Задачи

• Design 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

Требования

• 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

Условия

• 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
• 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

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