Engineering Team Lead – Analytics & Reporting

At Corsearch, we are dedicated to creating a world where consumers can trust the choices they make.

As a global leader in Trademark and Brand Protection, we partner with businesses to safeguard their most valuable assets in an increasingly complex digital environment.

Our comprehensive solutions, powered by AI-driven data and deep analytics, enable brands to establish, monitor, and protect their presence against infringement and counterfeiting.

Why Choose Corsearch?

• Innovative Solutions: We combine cutting-edge technology with expert judgment to deliver market-leading services in trademark clearance, brand protection, and anti-counterfeiting.
• Global Impact: Trusted by over 5,000 customers worldwide, including 73 of Fortune’s Top 100 companies, our work has a meaningful impact on businesses and consumers alike.
• Collaborative Culture: With a team of over 1,900 professionals across multiple global offices, you’ll be joining an inclusive environment where diverse perspectives thrive.
• Mission-Driven Purpose: Our commitment to protecting consumers and their trust in brands drives everything we do, making Corsearch a force for good in the world.

✅The Role

Corsearch is seeking a hands-on Engineering Team Lead to guide our Analytics & Reporting team within the broader Engineering function. This team is instrumental in delivering accurate, scalable, and insightful data products and solutions across the business — from standard and custom client reporting to internal analytics infrastructure.

We are looking for a seasoned engineer with a strong data mindset, ideally someone who has led highly effective technical teams, driven architectural decisions, and can code and contribute alongside their team. 

A background with and eagerness for interfacing with product, engineering, and business teams will help you be successful in this highly collaborative, impact-focused role.

This is a critical and exciting leadership position in shaping the direction and development of our data reporting platform and infrastructure.

✅Responsibilities and Duties

Shape a Unified Analytics Architecture

• Lead the consolidation of existing data pipelines, warehouses, and BI layers — guiding technology selection, migration sequencing, and de‑duplication of overlapping datasets.
• Inform the future‑state reference architecture to deliver low‑latency, efficient, and highly governed analytics for our products and operations at scale.
• Build deep partnerships with other Engineering leads to align data models, event schemas, and retention strategies that work for both operational systems and analytical workloads.

Lead & Grow a High‑Impact Team

• Manage and mentor data engineers and data analysts, setting clear goals and coaching them through complex integration challenges.
• Cultivate a culture of ownership, experimentation, and continuous learning—where engineers feel safe to innovate and push boundaries.
• Drive hiring and career development in tandem with the VP of Engineering as the team expands.

Assure Pipeline Reliability & Metric Integrity

• Own end‑to‑end quality for batch and streaming pipelines that feed the consolidated lake‑house; codify SLAs/SLOs, automated testing, lineage, and alerting.
• Steward a canonical metrics layer—co‑designing models with Product, AI, and Finance so every dashboard speaks the same language.
• Triage and resolve data incidents fast, leading root‑cause analysis and systemic fixes.

Facilitate Experimentation, Insights & Self‑Service

• Oversee the evolution of standard client reports and bespoke data feeds, ensuring new reporting surfaces seamlessly as product teams ship features.
• Guide analysts in query performance tuning, semantic‑layer design, and visualization best practices.
• Evangelize data‑driven decision‑making by surfacing high‑value insights to Product, GTM, and Operations leaders.

• Own end‑to‑end quality for batch and streaming pipelines that feed the consolidated lake‑house; codify SLAs/SLOs, automated testing, lineage, and alerting.
• Steward a canonical metrics layer—co‑designing models with Product, AI, and Finance so every dashboard speaks the same language.
• Triage and resolve data incidents fast, leading root‑cause analysis and systemic fixes.

✅Essential

• Combined 6+ years in data or software engineering, data science, and analytics, 2+ years guiding teams through large‑scale platform migrations or consolidations.
• Proven mastery of SQL‑centric warehouses (e.g., Snowflake, ClickHouse, BigQuery) and modern data‑ops tooling (e.g., dbt, Airflow, Git‑based CI/CD).
• Track record of collaborating with Product and Engineering on data‑model design, metric development, event instrumentation, and release workflows.
• Fluency in Python and appreciation for software development tooling and best-practices (e.g., git, testing, local environments, CI/CD, etc.)
• Command of cloud architecture and infrastructure, including state management with Terraform.
• Deep knowledge of metrics governance, dimensional modeling, and BI optimization (Power BI, Looker, or similar).
• Relentless focus on data quality, security, and cost‑efficient scalability.
• Excellent communication—able to translate architectural trade‑offs into clear business value for executives and peers.

Corsearch is an equal opportunity and inclusive employer and does not tolerate discrimination of any kind. We are committed to creating a diverse and inclusive workplace where all employees feel valued, respected, and supported. We welcome applications from all individuals regardless of race, nationality, religion, gender, gender identity or expression, sexual orientation, age, disability, or any other protected characteristic. Together, we are working proactively to build a workplace where everyone can belong and be at their best selves. Together, we make an Impact.