Tech Lead — Data Platform (Go)

Market insights

Stack

Apply

Upload your CV — we will connect you with the employer directly through our pool.

Description

About this role At Coreblocks, we build solutions that empower independent creators, business owners, and freelancers. We are looking for a hands-on Tech Lead to take charge of our core Data squad — the foundation that powers data operations across the entire organization. In this role, you will define the technical strategy for our data platform, driving the development of read models, real-time CDC workflows, and a high-performance analytical warehouse. Our data infrastructure derives directly from live operational systems. You will operate this squad as a key internal service partner, transforming business requirements from cross-functional teams into resilient, fully auditable data products. You'll take ownership of: Squad Leadership & Delivery: Mentor and scale an agile team of backend and data engineers. As Tech Lead, you take full accountability for end-to-end execution, measuring success by value delivered in production. You will serve as the technical authority across teams while staying actively involved in coding, demonstrating modern AI-driven engineering practices every week. Data Platform Engineering: Design and scale robust, high-load data architectures, building real-time ELT/ETL pipelines and high-throughput microservices in Go (ensuring operational systems remain the single source of truth). Compliance & Data Governance: Architect secure storage mechanisms and data flows that meet strict multi-jurisdictional regulations, incorporating automated audit trails, retention policies, and strict data segregation. Event-Driven Infrastructure: Build scalable streaming architectures and Change Data Capture (CDC) pipelines connecting operational engines to our analytical layers using NATS, PostgreSQL, and ClickHouse. AI-Powered Workflows: Embed modern AI tooling (Cursor, Claude) into the squad’s routine, optimizing prompt pipelines, custom rules, and automated workflows to maximize team output. Data Quality & Technical Standards: Establish end-to-end data observability and consistency across ClickHouse and PostgreSQL while mentoring engineers in Go and TypeScript best practices. About you: Proven Engineering Leadership: 5+ years of software engineering experience with demonstrated success in leading, mentoring, and setting architectural standards for high-performing technical teams. Go Expertise: Exceptional proficiency in writing clean, scalable Go code, with strong knowledge of concurrency, memory management, and system performance tuning. Data Streaming & Pipeline Mastery: Hands-on background in constructing CDC pipelines, ELT processes, and handling high-volume event streaming (NATS, Kafka, or similar). Database & Regulatory Knowledge: Deep expertise in PostgreSQL and ClickHouse (OLAP), with practical experience resolving data localization, residency, and compliance constraints across global markets. Fintech / Regulated Sector Experience: Background in developing data infrastructure within neobanking, fintech, or regulated digital financial platforms. AI-First Mindset: Daily use of advanced AI coding assistants (Claude, Cursor) to accelerate architecture design, system configuration, and feature delivery. Open & Collaborative Approach: Excellent communication skills, strong team empathy, and a commitment to transparent decision-making. Professional English: Fluent written and spoken English (B2+) to articulate technical visions and align global stakeholders effectively. Nice-to-haves (Bonus Points): Kafka Ecosystem: Deep hands-on experience with Kafka, including Kafka Connect customization and complex data transformations. Advanced ClickHouse Tuning: Expertise in schema optimization, query acceleration, and scaling large ClickHouse installations. Production ML Pipelines: Practical experience streaming machine learning model outputs directly into operational data pipelines.

Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.