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В роли четко обозначены лидерская ответственность, инженерные практики и современный стек, но широкий круг межкомандных задач может увеличить нагрузку.
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Широкая зона ответственностиСовременный стекПонятная роль руководителяПоддержка обученияОграничения по локации
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Analytics Engineering Team Lead (AI): Leading analytics engineering and web analytics while building SQL-based semantic models, reusable datasets, and reliable data pipelines with an accent on data quality, automation, and cross-functional standards. Focus on optimizing cloud data workflows, evaluating AI outputs for quality and bias, and coaching the team through complex, high-impact delivery.
Location: Poland; remote work is available from many countries, with offices in the United States, Poland, Romania, and Ukraine.
Company
hirify.global develops digital workflow products including SignNow, pdfFiller, DocHub, hirify.global, Instapage, and US Legal Forms for organizations worldwide.
What you will do
Lead and grow the analytics engineering and web analytics team by setting priorities, coaching team members, and maintaining a steady delivery rhythm.
Design, build, and evolve SQL-based semantic models and metric definitions across products.
Move the team toward reusable, tested, documented datasets with automated tracking checks and data-quality monitoring.
Set standards for modeling, version control, testing, code review, and release practices across the data organization.
Partner with Data Business Partners, Data Science and ML, and Data Platform teams on scope and ownership while staying close to critical code.
Requirements
5+ years of experience in analytics, data, or BI engineering, including 2+ years leading a team or leading others technically.
Expert SQL and Python skills, including query and performance optimization, incremental loads, deduplication, slowly changing dimensions, and production Python components.
Experience designing warehouse, mart, and semantic-layer models using star schema, Data Vault, or an equivalent methodology.
Experience optimizing and troubleshooting cloud data pipelines using platforms such as AWS Athena, Redshift, or Glue and orchestration tools such as Airflow.
Experience establishing branching, code review, schema and data testing, CI, and clear rollout and rollback plans.
Experience designing data validation, resolving root causes, setting documentation standards, and investigating unfamiliar data sources.
Ability to design solutions for complex problems, divide cross-team work into clear deliverables, build decision-oriented dashboards, and partner with business leaders.
Experience redesigning workflows around AI tools and evaluating AI outputs for quality, privacy, and bias.
Experience owning complex team-level projects, making high-impact decisions, coaching people, setting scope expectations, and managing change.
Fluent English and the ability to clarify complex ideas, build consensus across teams and time zones, and communicate effectively.
Nice to have
Experience with dbt or a similar transformation framework.
Experience with web analytics and tracking, including GTM and GA4.
B2B SaaS or document-workflow/e-signature experience.
Culture & Benefits
Flexible remote and hybrid working environment with optional access to offices in the United States, Poland, Romania, and Ukraine.
Market-based compensation, performance-based bonuses, and stock options.
Courses, conferences, learning resources, career growth, and internal mobility opportunities.
Country-specific health coverage, wellness and fitness options, and quarterly company-wide Mental Health Days.
Family-friendly flexibility, a junior club for children, family days, and a pet-friendly approach.
Open communication through team discussions and company-wide Q&A sessions, plus support for charitable initiatives through the hirify.global Care programme.
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