Lead Data Engineer

Lead Data EngineerWe are seeking a highly skilled and strategic Lead Data Engineer with strong expertise in PySpark Apache Iceberg, Trino, and modern Data Lakehouse architectures. The ideal candidate will be responsible for designing and driving enterprise-scale data platforms that enable analytics, AI/ML, and business intelligence across global organizations. This is a strategic customer-facing role requiring strong technical leadership, architecture expertise, stakeholder management, and the ability to influence data transformation initiatives.Key ResponsibilitiesLead the architecture, design, and implementation of large-scale distributed data platforms.Build and optimize high-performance data pipelines using PySpark and distributed computing frameworks.Design and manage Data Lakehouse solutions using Apache Iceberg for schema evolution, time travel, partition optimization, and data governance.Architect and optimize federated query solutions using Trino across multiple data sources.Drive enterprise data migration and modernization initiatives from traditional warehouses to Lakehouse architectures.Partner with business stakeholders, product owners, architects, and customer teams to translate business requirements into scalable technical solutions.Establish best practices for data modelling, performance tuning, security, governance, and observability.Mentor a team of data engineers and provide technical leadership across delivery streams.Evaluate and incorporate emerging technologies in Data Engineering, Analytics, and AI.Support pre-sales discussions, solution proposals, estimations, and customer presentations.Technical Skills10+ years of experience in Data Engineering and Big Data ecosystems.Expert knowledge of PySpark and Spark SQL.Strong hands-on experience with Apache Iceberg.Strong experience with Trino (Presto) query engine.Experience building large-scale batch and near-real-time pipelines.Strong SQL skills and query optimization expertise.Experience with Data Lake technologies and cloud-based analytics platforms.Knowledge of data modelling and distributed storage concepts.Experience with orchestration tools such as Airflow or equivalent.Experience working with file formats such as Parquet, ORC, and Avro.Exposure to CI/CD, Git, DevOps, and Infrastructure as Code practices.Experience in one or more cloud platforms:AWS (EMR, Glue, S3, Athena, Lake Formation)Azure (Databricks, Data Factory, ADLS)GCP (Dataproc, BigQuery, GCS)Leadership & Strategic ExpectationsAbility to engage with senior customer stakeholders.Drive technical roadmaps and platform modernization strategies.Lead architecture reviews and governance forums.Identify opportunities for automation, optimization, and AI-driven solutions.Strong communication and presentation skills.Ability to influence decisions across engineering, product, and business teams.Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.