Senior Software Engineer

ClickHouse appoints new leader for Asia Pacific and expands global go-to-market leadership team. Clickhouse | Published 9 June 2026 Veteran enterprise leaders join across APJ, public sector, financial services, solutions architecture, and revenue operations as the company scales its global organisation ClickHouse, a leader in real-time analytics, data warehousing, observability, and AI/ML, today announced a significant expansion of its global go-to-market (GTM) leadership team, headlined by the appointment of Ed Lenta as Vice President, Asia Pacific and Japan (APJ). The additions build on the momentum established last year with the appointment of Kevin Egan as Chief Revenue Officer, and reflect ClickHouse's strategic investment in scaling its global organisation to meet surging customer demand. Lenta joins ClickHouse to lead the company's go-to-market efforts across the APJ region. He brings deep experience scaling cloud and data platform businesses across the region, most recently as General Manager of Asia Pacific and Japan at Databricks, where he managed operations across more than twenty countries and led customer-facing teams serving organisations from startups to large enterprises and government. Earlier in his career, he helped build Amazon Web Services and VMware from early-stage companies into major platform providers in APJ. Based in Singapore, Lenta will be responsible for accelerating the adoption and expansion of ClickHouse Cloud and the open-source database in the region, empowering enterprises and public sector agencies to solve their growing data challenges. "ClickHouse is emerging as the foundational data infrastructure for the AI era, and the strategic opportunity across Asia Pacific and Japan is enormous," said Lenta. "As agentic workloads scale, enterprises are rethinking their data architecture around both speed and efficiency, and ClickHouse outperforms traditional data warehouses by orders of magnitude on critical cost-performance metrics - that unique combination is what makes this technology so category-defining. I'm excited to build the teams and partnerships that will help organisations across the region unlock the full power of real-time analytics at scale." Lenta's appointment in APJ is complemented by the recent hire of Takeshi Kaneko as Country Manager of ClickHouse Japan. Kaneko brings more than two decades of leadership in the Japanese technology market, including senior executive roles at Nutanix, where he served as President of Nutanix Japan, as well as leadership positions at Red Hat and Microsoft Japan. The company also announced a series of additional GTM leadership appointments that strengthen its global revenue organisation: * Billy Schoeffel, Vice President, Financial Services, joins after more than six years leading global financial services sales at Snowflake, with prior senior sales leadership roles at ServiceNow and across the enterprise software industry. * Kenneth Melero, Vice President, Public Sector, brings more than 30 years of experience across U.S. federal, state and local government, education, and worldwide public sector environments. He joins ClickHouse from Chainguard, where he led U.S. public sector sales, and previously served as a Regional Vice President at Elastic. * Maged Shehata, Vice President, Global Solutions Architecture, brings more than 20 years of solution engineering experience in the data and AI space. Most recently at Snowflake, Shehata led solution engineering teams across retail and consumer goods, financial services, and healthcare, bringing expertise spanning data integration, data governance, real-time analytics, and broader enterprise data platforms. * Andrew Straus, Vice President, Global Revenue Strategy and Operations, brings two decades of go-to-market and operating leadership across cloud infrastructure and enterprise software, spanning senior revenue operations and GTM strategy roles at Snowflake, Kong, and HPE. "As organisations race to modernise their data infrastructure for the demands of agentic AI, we are investing decisively in the world-class team needed to serve them globally," said Kevin Egan, Chief Revenue Officer at ClickHouse. "Ed's leadership in APJ, combined with the strength and breadth of talent joining across the public sector, strategic sales, solutions architecture, and revenue operations functions, positions us to scale with our customers everywhere they operate." The leadership expansion comes amid a period of exceptional momentum for ClickHouse. The company recently surpassed $250 million in annual run-rate revenue, more than triple a year earlier, and crossed 4,000 customers, adding more than 1,000 net new customers in a single quarter. The breadth of customers featured at the company's Open House 2026 user conference reflects how deeply ClickHouse now sits in the enterprise stack, with speakers including Visa, Cisco, Intuit, Shopify, DoorDash, Mercado Libre, Zoox, and Jump Trading. These leadership appointments are a direct investment in that growth, adding the regional coverage, enterprise relationships, and operational infrastructure to support customers at scale. About ClickHouse ClickHouse is a fast, open-source columnar database management system built for real-time data processing and analytics at scale. Engineered for high performance, ClickHouse Cloud delivers exceptional query speed and concurrency, making it ideal for applications that demand instant insight from massive volumes of data. As AI agents become increasingly embedded in software and are generating far more frequent and complex queries, ClickHouse brings a high-throughput, low-latency engine, purpose-built to meet this challenge. Trusted by leading companies like Sony, Tesla, Anthropic, Memorial Sloan Kettering, Lyft, and Instacart, ClickHouse helps teams unlock insights and drive smarter decisions with a scalable, efficient, and modern data platform. For more information, visit clickhouse.com.

Feb 19, 2026 · 7 minutes read This month, ClickHouse has ClickHouse's $400M Series D, the release of the official Kubernetes operator, a data modelling guide, how ClickHouse optimizes Top-N queries, and more! Featured community member: Ino de Bruijn #. This month's featured community member is Ino de Bruijn, Data Visualization Team Lead at Memorial Sloan Kettering Cancer Center's Cancer Data Science Initiative. Ino leads a team of engineers building software tools for cancer research, visualizing and disseminating data from major consortia including HTAN, Break Through Cancer, AACR GENIE, and the Gray BRCA Pre-Cancer Atlas. For nearly 11 years, he's also been instrumental in developing cBioPortal - the most popular cancer genomics tool worldwide, with over 3,000 daily users and more than 25,000 citations. At the ClickHouse New York Meetup in December, Ino presented on his team's work building a conversational AI interface for cBioPortal using ClickHouse, Anthropic's Claude, and LibreChat - a fully open-source solution making cancer research data more accessible to researchers and clinicians. Global virtual events #. Virtual training #. Data Warehousing Events in AMER #. Events in EMEA #. Events in APAC #. 26.1 release #. The first release of 2026 adds support for the sparseGrams tokenizer to the text index, which also now supports arrays of Strings or FixedStrings. There's support for the Variant data type in all functions, new syntax for indexing projections, deduplication of asynchronous inserts with materialized views, and more! ClickHouse raises $400M Series D, acquires Langfuse, and launches postgres #. ClickHouse closed a $400 million Series D funding round led by Dragoneer Investment Group, with participation from Bessemer Venture Partners, GIC, Index Ventures, Khosla Ventures, Lightspeed Venture Partners, T. Rowe Price Associates, and WCM Investment Management. Alongside the funding announcement, ClickHouse acquired Langfuse, an open-source LLM observability platform with over 20K GitHub stars and more than 26M+ SDK installs per month. Additionally, ClickHouse launched an enterprise-grade PostgreSQL service integrated with its platform. Provable completeness: guaranteeing zero data loss in trade collection from crypto exchanges #. Unreliable WebSocket connections and network interruptions create a persistent challenge to data quality in cryptocurrency market data collection. Koinju, a crypto platform built for finance professionals, ingests millions of trades per day across hundreds of markets. For their clients, even a single missing trade can distort volumes, P&L calculations, risk exposures, and regulatory reports - making data completeness non-negotiable. In this blog post, Dmitry Prokofyev, CTO of Koinju, describes a novel solution using only ClickHouse to detect and automatically remediate missing trades from Coinbase. The architecture combines three ClickHouse features to create a self-healing system: Refreshable Materialized Views for detection, a separate validation service for REST API backfilling, and ReplacingMergeTree for automatic deduplication of resolved gaps. Introducing the official ClickHouse Kubernetes Operator: seamless analytics at scale #. Grisha Pervakov introduces ClickHouse's official open-source Kubernetes Operator, designed to simplify the deployment and management of ClickHouse clusters on Kubernetes. The operator enables rapid provisioning of production-ready clusters with built-in sharding and replication capabilities while eliminating the need for separate ZooKeeper installations by using ClickHouse Keeper for cluster coordination. AI-Generated analytics without wrecking your cluster #. Luke from Faster Analytics Fridays outlines three guardrail patterns for safely enabling AI-generated database queries without crashing clusters: * Using pre-vetted query templates with parameter binding instead of raw SQL generation * Exposing curated materialized views rather than raw tables, and * Enforcing query budgets that validate estimated row scans and execution time before queries hit the database. Data modeling guide for real-time analytics with ClickHouse #. Simon Späti has written a comprehensive guide to designing optimized data models in ClickHouse for sub-second real-time analytics, emphasizing that performance comes from shifting computational work from query time to insertion time. The article covers core principles, including denormalization to minimize joins, partitioning by time and secondary dimensions for query pruning, and predicate pushdown optimization that moves filters closer to data sources. PostgreSQL + ClickHouse as the open source unified data stack #. Lionel Palacin introduces an open-source unified data stack that combines PostgreSQL for transactional workloads with ClickHouse for analytics. It uses PeerDB for near-real-time CDC replication and the pg_clickhouse extension for transparent query offloading without rewriting SQL, enabling teams to start with PostgreSQL and add ClickHouse when analytical performance becomes critical. Quick reads #. * Mikhail Zharkov describes building a scalable price distribution pipeline for trading systems using ClickHouse. * Abhinaav Ramesh built Ollama-Local-Serve, a self-hosted LLM server with complete observability, using ClickHouse for time-series analytics, OpenTelemetry instrumentation, FastAPI monitoring APIs, and a React dashboard with streaming chat. * Pranav Mehta describes investigating ClickHouse connection retry warnings in an on-prem environment that initially appeared to be a critical connection leak but turned out to be expected behavior when the connection pool attempts to reuse stale connections after idle periods. * Lionel Palacin redesigned the data pipeline of ClickPy, a ClickHouse-backed service that contains 2.2 trillion rows of Python package analytics. Data was previously ingested using custom batch scripts but has been migrated to ClickPipes and uses ClickHouse's lightweight deletes to correct historical data without rebuilding the entire dataset. * Tom Schreiber explains how ClickHouse optimizes Top-N queries using granule-level data skipping with min/max metadata filtering, achieving 5-10x speedup and 10-100x reduction in data processed. Loading form...