Data Engineering Lead en 100% En remoto.
Job DescriptionHi there! We are Semrush, a global IT company developing our own product, a platform for digital marketers. New stars are born here, so don't miss your chance. This is our Data Engineering Lead role for those who strive to implement functional processes and drive them to full completion.
Tasks in the roleData Architecture Infrastructure: Oversee the design and implementation of scalable, high-quality data pipelines, models, and architecture, ensuring data availability and accuracy for key stakeholders.Cross-Functional KPI Development: Collaborate with stakeholders to define and refine key performance indicators (KPIs) that guide sales, customer success, and operational strategy.Automation Scalability: Design and implement automation and scalable ETL/ELT workflows to streamline data processing and accelerate time-to-insight for business-critical metrics across the whole sales field.Data Excellence Governance: Establish and enforce best practices in data quality, governance, validation, and documentation, upholding a high standard of data integrity across systems.AI Preparedness Data Innovation: Partner with Data Science and Engineering teams to drive data readiness for machine learning initiatives, supporting AI-driven product and operations enhancements.Stakeholder Collaboration: Serve as a key point of contact for cross-functional stakeholders, aligning on project requirements, ensuring milestone delivery, and communicating insights for data-driven decision-making.Leadership Thought Partnership: Lead, mentor, and inspire a team of data engineers, fostering a culture of excellence, innovation, and collaboration.Continuous Improvement: Identify, implement, and advocate for opportunities to enhance the efficiency, accuracy, and impact of the BI solutions used by Sales Operations.RequirementsWho we are looking for: 8+ years of experience in data engineering, business intelligence, or similar roles with extensive knowledge of data architecture, data modeling, ETL/ELT processes, SQL, and data warehouse design.3+ years of experience in leading and developing data teams with proven success in managing team performance and delivering on complex, high-impact projects.Expertise in data visualization using Tableau, Power BI, Looker, or similar tools.Proficiency in SQL and at least one programming language (e.g., Python, R) and experience with statistical or machine learning frameworks.Strong business acumen and a proven track record of designing and managing KPIs to guide business outcomes.Exceptional communication and stakeholder management skills with experience leading cross-functional initiatives.Not required but a plus10+ years of experience in data architecture, BI, and analytics with a significant focus on driving measurable business impact.Deep knowledge of cloud-based data solutions (AWS, GCP, or Azure) and experience in optimizing data storage, compute, and orchestration resources.Proven ability to influence strategic direction and technical trade-offs for large-scale data solutions aligning with broader organizational goals.You share our common values:
Trust, because we prefer to speak up and be our true selves.Sense of Ownership, because it's not worth wasting time on something you don't believe in.Enthusiasm for Constant Changes, because we are always looking to make things better.Additional InformationThis offer stands for the hybrid work format (some days you work from the office and some #wfh).
Flexible working day startUnlimited PTOHobby benefitBreakfast, snacks, and coffee at the officeCorporate eventsTraining courses, conferencesGifts for employeesSkills: ETL, SQL, R, Python
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