Engineering Manager (Company Data, Grata)

Join Grata, the leading private market dealmaking platform, as an Engineering Manager. In this role, you will lead a team responsible for creating, enriching, validating, and serving Grata's proprietary private-company datasets. You will be accountable for both delivery and people leadership, partnering closely with various stakeholders. Your responsibilities will include ensuring successful data and product deliveries, coaching engineers, establishing healthy team practices, and balancing near-term delivery with long-term technical health. This role is primarily focused on management and leadership, with hands-on technical engagement as needed.

• Lead and manage a team responsible for the systems and workflows that create, enrich, validate, and serve Grata's proprietary private-company datasets.
• Ensure successful data and product deliveries, including incremental value creation, data coverage, freshness, quality, system performance, and commercial impact.
• Foster a culture of high ownership, psychological safety, and sustainable pace, while coaching engineers on growth plans and promotions.
• Strong grasp of data modeling, entity resolution, schema evolution, reliability, observability, architectural patterns, and engineering trade-offs
• Experience leading engineering teams that build data-intensive products, proprietary datasets, or data platform capabilities at scale
• Demonstrated ability to define what good looks like for data and software systems through clear acceptance criteria, evaluations, tests, metrics, and review practices
• Experience designing and operating ETL/ELT pipelines, data quality systems, and queue-based, event-driven, or asynchronous workflows
• Outcome-oriented leadership: ability to connect technical and data investments to customer value, product strategy, and commercial outcomes while reinforcing strong ownership across the team
• Strong comfort with Python, SQL, and backend services in a data-heavy environment; ability to guide full-stack/API work when data capabilities surface in the product
• Proficiency with AI-driven and agentic coding workflows: able to break down complex goals, provide context, delegate work to engineers and parallel agents, and verify output quality
• Kafka, Pulsar, or similar event streaming platforms
• Familiarity with modern data processing systems, such as:
• Experience with entity resolution, deduplication, taxonomy/ontology design, or knowledge graph-style data models
• Elasticsearch/OpenSearch, graph databases, or search/indexing infrastructure
• We're looking for an engineering leader who brings strong judgment, ownership, and collaboration skills. You may demonstrate strengths in areas such as:
• Experience with LLM-assisted data extraction, enrichment, classification, or evaluation workflows
• Databricks, Spark, or distributed data processing
• Forecasting capacity, negotiating scope, and planning effectively across quarters
• Developing engineers into product-minded, agent-first builders who can operate with autonomy, context, and end-to-end ownership
• Communicating clearly with technical and non-technical partners, especially when translating ambiguous data problems into actionable plans
• Holding teams to a high-quality bar for both code and data while reinforcing sustainable execution
• Anticipating cross-team constraints and balancing technical and data risk with delivery goals
• Exposure to cloud-native architectures and scalable backend services
• Guiding teams through architectural evolution, platform upgrades, and data model changes
• Proactively improving processes, metrics, engineering effectiveness, and data quality feedback loops