About SPAN DigitalWe're a premium software consultancy partnering with startups to global brands in tech, fintech, and digital media.We build category‐defining products and help engineering teams deliver exceptional digital solutions across three continents.At SPAN, we balance structure with flexibility, autonomy with accountability, and learning with doing.The RoleJoin our expert team executing critical enterprise data retention, migration, and privacy enhancement projects at petabyte scale.This role combines robust software engineering capabilities with technical leadership; you'll design production‐quality solutions while mentoring teams and driving complex data initiatives from concept to deployment.Experience Level8+ years data/software engineering | 4‐7 years technical leadershipWhat You'll DoData Engineering & Migration LeadershipDesign and implement large‐scale data migration strategies for identity transformation across multi‐petabyte datasetsBuild comprehensive data lineage mapping and validation systems ensuring migration accuracy and data integrityDevelop scalable data transformation solutions supporting batch and streaming processing with parallel pipeline orchestrationExecute JDK and Apache Spark upgrades while maintaining production stabilityImplement advanced monitoring and observability for data pipeline performance and system health trackingCreate testing and validation frameworks for complex migration scenariosTechnical Leadership & Engineering ExcellenceProvide technical leadership for data migration initiatives, taking ownership of critical system componentsMentor engineers through pair programming, code reviews, and collaborative pipeline developmentLead technical design discussions for complex data migrations meeting enterprise requirementsDemonstrate deep expertise across the full data engineering lifecycle—from migration planning through operational supportDrive work forward by identifying and removing blockers, enabling continuous value deliveryCollaborate effectively with stakeholders across disciplines to ensure alignment and project successWhat You BringRequired:Minimum 8 years in data engineering or related engineering rolesBachelor's/Master's in Computer Science, Engineering, or equivalent experienceProven expertise in large‐scale data migration and ETL pipeline developmentAdvanced proficiency in Scala and Java with modern build systems (Gradle or Maven)Deep experience with Apache Spark and distributed file systems (HDFS) or cloud object storage (S3, GCS)Production experience with cloud data platforms (AWS, GCP, Azure, or Databricks)Hands‐on AWS EKS (Kubernetes) for containerized data processing environmentsUnderstanding of data privacy, security, and compliance requirements (GDPR experience preferred)Strong knowledge of data structures, algorithms, and distributed systems designExcellent problem‐solving skills for fast‐paced, mission‐critical environmentsPreferred:Enterprise engineering environments with large‐scale tools and development processesData lineage analysis, dependency mapping, and validation frameworksIdentity management in large‐scale distributed systemsModern data formats: Apache Iceberg, Parquet, ORC, AvroStreaming platforms: Apache Kafka or AWS KinesisObservability tools: Prometheus, Grafana, Spark UICore CompetenciesThis role requires expertise across technical and leadership areas including Software Design, Programming/Software Development, Testing, Solution Architecture, Requirements Management, Release and Deployment, and Technology Monitoring.You'll demonstrate autonomy in complex problem‐solving, influence across technical teams, and leadership of technical initiative.Our Culture = Your Fit (Non‐Negotiable)We need team members who embrace authentic expression and psychological safety as non‐negotiables, actively contribute ideas and questions rather than waiting to be asked, view mistakes as learning opportunities to share openly, and genuinely collaborate instead of just coordinating tasks.If you thrive in environments where open communication, mutual respect, and genuine teamwork drive excellence, you'll feel at home here.However, if you prefer working in silos, avoiding difficult conversations, or keeping concerns to yourself, this isn't the right fit – and that's okay.Our PrinciplesEngage • Communicate • Collaborate • Deliver Value • Grow • Lead • Iterate • Have FunWhy SPAN DigitalWork on cutting‐edge data engineering projects at petabyte scaleTechnical leadership opportunities with mentorship responsibilitiesCollaborative environment focused on continuous learning and growthExposure to enterprise clients in entertainment, and technology industriesProfessional development with clear career progression pathsFlexible work arrangements across our officesCompetitive compensation packageAccess to latest technologies and tools in data engineering and cloud platformsReady to Lead at Scale?
If you're passionate about large‐scale data engineering, technical leadership, and delivering world‐class solutions, we'd love to hear from you.Next StepsReview our culture and values atspandigital.comPrepare examples of your data engineering leadership experienceBe ready to discuss your approach to technical mentorship and team collaboration#J- *-Ljbffr
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