Principal Data Platform Engineer

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Exactera

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51 - 200 Mitarbeiter

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🏢 Unternehmen

🤖 Künstliche Intelligenz

Finance • Enterprise • Artificial Intelligence

Exactera ist ein Unternehmen, das KI-gesteuerte Technologie nutzt, um Lösungen für die Steuerkonformität von Unternehmen bereitzustellen. Ihre Dienstleistungen konzentrieren sich auf die Verbesserung der Effizienz, Genauigkeit und Transparenz in Steuerprozessen, wobei sie sich auf Verrechnungspreise, F&E-Steuergutschriften und Steuerprovisionen spezialisieren. Die Lösungen von Exactera bieten lokal angepasste Konformität in verschiedenen Rechtsordnungen und fördern eine detaillierte und konsistente Dokumentation für ihre Kunden. Das Unternehmen ist bekannt dafür, anspruchsvolle Technologie mit Branchenexpertise zu integrieren, um Steuerdaten in Business Intelligence zu verwandeln, Risiken zu reduzieren und strategische Geschäftswerte zu steigern.

Beschreibung

• Architect and implement centralized data platform on Databricks. • Establish governance patterns using Unity Catalog. • Optimize for cost and performance at scale. • Enable Data Engineers to build confidently on the platform. • Lead the architecture for migrating multi-terabyte datasets from legacy systems to Databricks. • Design Unity Catalog structures enabling secure data separation between product lines. • Build infrastructure that scales efficiently—through intelligent caching, query optimization, and compute management strategies. • Establish monitoring, alerting, and data quality validation to ensure platform reliability.

🎯 Anforderungen

• Databricks Expertise (Required) • Unity Catalog: Production experience with multi-catalog governance, metastore design, and lineage tracking. • Data Structuring: Experience designing and building unified schemas across multiple disparate product lines. • Delta Lake: Expert-level experience with Z-ordering, compaction, liquid clustering, and performance tuning at multi-TB scale. • Delta Live Tables: Strong hands-on experience building declarative ETL pipelines, including change data capture and expectations/constraints. • Databricks Workflows: Experience with job orchestration, scheduling, and operational monitoring. • Business Intelligence: Experience enabling company-wide analytics and reporting with modern business intelligence tools and maintaining source of truth data and metrics. • PySpark & Databricks SQL: Strong proficiency for code review, performance tuning, and query optimization. • Core Platform Engineering: 5-8 years in data engineering or data platform roles, with 3+ years hands-on Databricks experience. • Track record leading at least one significant platform build or migration project. • AWS experience (S3, IAM, VPC) with ability to collaborate on infrastructure decisions. • Infrastructure-as-code experience (Terraform preferred). • Technical Leadership: Demonstrated ability architecting data platforms from first principles and defending technical decisions. • Strong written and verbal communication—document architecture decisions and present to both technical and business stakeholders. • Preferred But Not Required: Experience with financial data, accounting systems (NetSuite), or enterprise ERP platforms. • Background building platforms that serve AI/ML workloads (experience preparing data for downstream ML consumption, RAG and retrieval, and LLMs). • Understand advanced intelligence concepts such as relationship surfacing with knowledge graphs. • Familiarity with data governance frameworks and compliance requirements for regulated industries.

🏖️ Vorteile

• A collaborative team culture with opportunities for career development. • Ample opportunities to be recognized, build valuable skills, and grow your career. • Generous vacation policy, including paid parental leave. • Comprehensive health plans with FSA and HSA options. • 401(k) retirement plan. • Life and disability insurance coverage. • Supplemental benefits like a dependent care savings plan, pet insurance, will preparation, and an employee assistance program.