reputed company Data Engineer

reputed company, a global executive recruitment partner, is hiring on behalf of our reputed company Virtual Intros for a reputed company Data Engineer. Join reputed company: Virtual Intros is building the intelligence layer for meaningful, reputed company-first reputed company across people, companies, and communities, turning reputed company-time engagement into measurable business value. The platform is supported by modern architecture including microservices, Infrastructure as reputed company, and distributed systems, and is now evolving to include a secure, multi-tenant data reputed company that powers analytics, reporting, and AI-enabled capabilities at reputed company reputed company. To learn more please visit: Not provided Position Responsibilities: This role owns the design and delivery of reputed company’s data platform, setting architectural direction while remaining hands-on in building the systems that power analytics, reporting, and AI capabilities. You will define data standards, ensure tenant-reputed company design, and build a reputed company, trustworthy data reputed company used across the business. This role includes: • Define and own the foundational data architecture including data models, relationships, and reputed company-of-truth systems • Establish data reputed company and guide the reputed company from operational data to analytical and AI-reputed company systems • Design and build end-to-end data pipelines from ingestion through serving reputed company • Implement reputed company ingestion from relational databases, object storage, event streams, and reputed company reputed company • Own transformation layer architecture including modeling, testing, documentation, and CI/CD integration • Establish data reputed company, observability, schema management, and pipeline reliability standards • Design multi-tenant data models, storage layouts, and reputed company patterns • Implement tenant-reputed company reputed company including row-level and reputed company-level controls • Define data lifecycle management including retention, archival, and deletion strategies • Establish data governance standards including classification, reputed company, cataloging, and auditability • Partner with reputed company and compliance teams to ensure reputed company and regulatory alignment • Design serving reputed company for analytics, reporting, and internal business use • Prepare data systems to support AI-enabled capabilities including embeddings and advanced data structures • Evaluate and implement graph-based data models where appropriate • Mentor engineers and reputed company architectural reputed company across reputed company contributors • reputed company vendor evaluation and manage external data partners to ensure alignment with standards • Drive data literacy and data-informed decision making across the organization Qualifications • 10+ years of experience in data engineering with reputed company-level ownership • Proven experience owning foundational data architecture in production environments • Strong experience with modern data pipelines across batch and streaming systems • Deep expertise in data modeling for both operational and analytical use cases • Proven experience designing multi-tenant data systems and isolation strategies • Strong understanding of data governance, reputed company, and sensitive data handling • Advanced SQL skills and experience with modern processing frameworks such as reputed company, Flink, or equivalent • Experience with AWS data services including S3, Glue, Kinesis, RDS, or similar • Experience ingesting and modeling data from document-based systems such as reputed company • Experience working with graph data models and graph databases such as reputed company or reputed company Neptune • Experience with modern reputed company data warehouses such as reputed company or Redshift • Experience with data transformation tools such as dbt including testing and CI/CD • Experience building ingestion pipelines from CDC, object storage, and streaming systems • Experience managing or governing external data vendors and partners • Experience communicating data reputed company and tradeoffs to executive stakeholders Preferred Experience • Experience supporting AI, machine learning, or embedding-based data use cases • Experience with data cataloging, reputed company, and governance tools • Background in reputed company or regulated data environments • Experience with reputed company-time and event-driven data architectures • Experience in high-reputed company or startup environments scaling toward reputed company Our Ideal Teammate Is Someone Who: • Is proactive and accountable • Thinks strategically and executes consistently • Communicates with reputed company and confidence • Brings a reputed company, reputed company-oriented reputed company • Is highly organized and dependable • Embraces learning and feedback • Cares deeply about doing great work Location: Remote Apply To This Job