Engineering Lead Manager, Data Platform

hace 1 día


San Fernando, Argentina Index Exchange A tiempo completo

We shaped the earliest forms of ad tech, and we're looking for the technical expertise to help shape its future. Our customers have unique problems that can only be solved at internet scale, and that's where the technical skills of our team make a real difference.
Our exchange handles over 500 billion requests every day (for comparison Google serves an estimated 9 billion searches a day), all running in our own global data centers. Every member of our technology team has an enormous amount of autonomy in building and managing our systems to support and enable our growing level of scale. Through the transparency of our technology, dedication to innovation and integrity, and long-standing customer relationships, we lead through change.
Are you ready to join the programmatic evolution? The Engineering Lead Manager is a critical role within the Data Platform team with ownership over our high scale and low latency data processing pipelines and analytics platforms.
Our systems process over 550 billion auction events daily. Index's scale spans the globe, our transactions happen 24x7 in our global data centers, and every second that passes millions of events are processed and serviced through our data platforms. In order to achieve our mission, efficiency, reliability, scalability and data quality are absolutely key, as all our data is crucial in providing business insights and driving decisions in Index's and our partners' business.
What We're Looking For Data Engineering: Lead the transformation of the next generation of big data solutions at Index Exchange with real-time streaming and batch analytical capabilities. Collaborate and service to both internal and external customers and partners for their reporting and analytics as well as machine model training needs.Technical Leadership: You have gained experience and skills that enable you to chart a technical path for products, systems, and architectures. You are happy to be hands-on in the code, but your biggest impact is leading from the front and guiding others. Your role is to represent the technical health and future of the products you support while applying industry best practices towards designs and implementations.People Leadership: You know how to work with and lead a team of data engineers. You have demonstrated mentorship skills and set a technical vision to challenge your team in a way that empowers them to have incredible impact.Handler of Broad Scope: You thrive in environments where multiple projects and initiatives are under your ownership at different maturity levels. Specifically, when the number of initiatives is larger than the resources. You can manage your own and prioritize your team's time in each project to achieve the highest impact for the organization.Driver of Outcomes: You are intentional in your path, establishing a vision or hypothesis, setting a direction, and guiding your team through execution. You use data to inform pivots or to validate assumptions, and partner with the Product team to set a roadmap, establish goals and forecasts to achieve both technical and business outcomes.End-to-End Owner: You take great pride in the platforms your team owns and delivers, and take full responsibility for their quality, health, and outcomes.Organizational Coordinator: You are the first point of contact for your team, your platforms, your products, and your delivery plan.Here's What You Need A college or university degree/diploma in Computer Science, Software Engineering, or a related fieldA minimum of 3 years experience in leadership and management of 3-10 person teamsAn equivalent combination of education and experience may be consideredExtensive experience in designing, building and managing large scale low latency data processing pipelines and analytical platformsDeep understanding of design principles of distributed systems with streaming data platform frameworks and technologiesExperience with data modeling, data warehousing, ETL processes, and business intelligence reporting toolsKnowledge of big data stack including Kafka, Hadoop, Spark, Flink, Scala, and Airflow, as well as data warehouse technologies such as Druid, Starrocks, VerticaKnowledge of BI tools like Looker, Superset and/or Redash will be very helpfulExperience with Docker and Kubernetes is a plusA passion for cutting edge technologies, leading teams, and nurturing talent development among your team(s)Why You'll Love Working Here: Company paid comprehensive health and life insurance plansPaid Time off and flexible work schedulesCompany contribution to Provident FundParticipation in our company Stock options planCompany paid Parental LeaveMonthly internet stipendQuarterly Wellness allowanceCommunity engagement opportunities and donation-matching programVolunteer paid day offAnnual virtual company retreats and regular community-led team eventsA workplace that supports a diverse, equitable, and inclusive environmentWhat's it like to work at Index? We have more than 550 Indexers around the globe dedicated to building a safe and transparent marketplace that provides a trusted experience for consumers.
Index is an exciting and fast-paced place to work. We're built on our values of change, support, learning and teaching, trust, and intention. We pride ourselves on our independence and openness, not only in our technology, but in our teams, too. Our diverse and inclusive culture celebrates how we can leverage our unique differences to help drive Index forward.
Our culture of success is truly supportive and collaborative. In working together across our teams, we're continually investing in the people and technology to solve the industry's most complex problems. As we extend the promise of ad tech to every channel, we're looking for talented engineers to help advance Index, and the industry, forward.

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