Engineering Manager, Company Data - Grata

Perot Jain; United States; Hybrid; USD 180,000 - 230,000; Full time

Job summary

Grata is seeking an Engineering Manager to lead a data product pillar, guiding data enrichment, validation, and delivery of Grata's proprietary datasets. You will work at the intersection of data engineering, product, and AI-enabled automation, partnering with stakeholders to deliver high-impact data solutions.

The role emphasizes management with hands-on technical guidance to unblock teams, improve data quality, and advance platform capabilities for better deal intelligence.

Qualifications

• Must lead data-intensive product teams at scale.
• Deep knowledge of Python/SQL and backend services for data ecosystems.
• Experience designing ETL/ELT pipelines and data quality systems.
• Strong data modeling, entity resolution, and schema evolution skills.
• Ability to define acceptance criteria and measure outcomes for data/software systems.
• Proven track record in outcome-focused leadership with ownership.

Responsibilities

• Own delivery and people leadership for data products and platform.
• Coach engineers on growth plans and promotions.
• Establish and evolve team practices for planning, execution, and quality.
• Represent Engineering in cross-functional ceremonies with Product/Data/AI/Design.
• Balance short-term delivery with long-term technical health.
• Translate vision into execution plans and measurable outcomes.
• Foster delegation in AI-enabled engineering environments.
• Maintain a culture of high ownership and psychological safety.

Skills

Engineering leadership

Data-intensive product leadership

Python

SQL

Backend services

ETL/ELT pipelines

Data modeling

Entity resolution

Observability

AI-driven workflows

Product collaboration

Full-stack guidance

Tools

Databricks

Spark

Kafka

Pulsar

Elasticsearch/OpenSearch

LLM-assisted data workflows

Cloud-native architectures

Job description

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing

and more. Here you’ll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth.

Apply for one position or as many as you like. Talent doesn’t always just go in one direction or fit in a single box. We’re happy to see whatever your superpower is and find the best place for it to flourish.

Get started now, we look forward to meeting you.

Job Description:

Grata is the leading private market dealmaking platform. We make it easy to find, research, and engage with private companies while powering end-to-end M&A business development workflows. Our platform delivers the most comprehensive, accurate, and searchable proprietary data on private companies, their financials, and their owners.

We are looking for an Engineering Manager to lead one of our Data Product Pillars, a team responsible for the systems and workflows that create, enrich, validate, and serve Grata's proprietary private-company datasets. This role sits at the intersection of data engineering, product, AI-enabled automation, and scalable platform engineering, and will play a critical role in making Grata's data more comprehensive, accurate, fresh, and actionable for dealmaking teams.

Grata is a hybrid company, with in-office collaboration in NYC on Mondays, Tuesdays, and Thursdays.

What You’ll Do

As an Engineering Manager, you will be accountable for both delivery and people leadership, while partnering closely with Product, Data, AI, Design, and customer-facing stakeholders.

You will:

• Own the outcomes of your team's efforts by ensuring successful data and product deliveries, including incremental value creation, data coverage, freshness, quality, system performance, and commercial impact.

• Coach engineers on growth plans and promotions using established engineering pathways.

• Establish and evolve healthy team practices, including planning, execution, quality, data validation, and operational excellence.

• Represent Engineering in cross-functional ceremonies and planning with Product, Data, AI, Design, Data Operations, and customer-facing partners.

• Balance near-term delivery with long-term technical health, identifying and managing data platform debt, schema evolution, pipeline reliability, and operational risk.

• Translate product, data, and technical vision into clear execution plans, crisp task breakdowns, and measurable outcomes.

• Teach and model effective delegation in an AI-enabled engineering environment: give engineers and agents the right context, tools, constraints, and definition of good, then inspect outcomes.

• Foster a culture of high ownership, psychological safety, and sustainable pace.
  

This role is primarily focused on management and leadership, with hands-on technical engagement as needed to guide architecture, unblock teams, and support high-impact data initiatives.

What You’ll Be Working On

• Building and scaling Grata's proprietary company data platform, including ingestion, enrichment, normalization, entity resolution, quality controls, and serving layers.

• Improving freshness, coverage, and accuracy for company profiles, financials, transactions, ownership, firmographics, and related market intelligence.

• Partnering closely with Product Managers and Data/AI partners to identify customer pain points, automate data workflows, and turn messy sources into trusted product experiences.

• Developing platform capabilities that make Grata's data more searchable, actionable, and defensible across M&A business development workflows.

• Strengthening observability, evaluation, and incident response for data systems customers depend on.

Technical Requirements (Must Have)

• Experience leading engineering teams that build data-intensive products, proprietary datasets, or data platform capabilities at scale.

• 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.

• Experience designing and operating ETL/ELT pipelines, data quality systems, and queue-based, event-driven, or asynchronous workflows.

• Strong grasp of data modeling, entity resolution, schema evolution, reliability, observability, architectural patterns, and engineering trade-offs.

• 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.

• Demonstrated ability to define what good looks like for data and software systems through clear acceptance criteria, evaluations, tests, metrics, and review practices.

• 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.

Technical Experience (Nice to Have)

• Familiarity with modern data processing systems, such as:

• Databricks, Spark, or distributed data processing

• Kafka, Pulsar, or similar event streaming platforms

• Elasticsearch/OpenSearch, graph databases, or search/indexing infrastructure

• Experience with LLM-assisted data extraction, enrichment, classification, or evaluation workflows.

• Experience with entity resolution, deduplication, taxonomy/ontology design, or knowledge graph-style data models.

• Exposure to cloud-native architectures and scalable backend services.

What We’re Looking For

We're looking for an engineering leader who brings strong judgment, ownership, and collaboration skills. You may demonstrate strengths in areas such as:

• Anticipating cross-team constraints and balancing technical and data