Principal Solutions Architect – Financial Services

🕒 vor 19 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🔴 Experte

💻 Lösungsingenieur

👻 Geisterscore 20%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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SunnyData

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

💼 Beratung

🏥 Gesundheitswesen

📦 Logistik

Consulting • Healthcare • Logistics

SunnyData ist ein auf Databricks spezialisiertes Unternehmen für Datenengineering und KI-Beratung, das Organisationen dabei unterstützt, ihre Datenplattformen zu modernisieren, bestehende EDWs und Data Lakes zu Databricks zu migrieren und KI/ML- sowie GenAI-Initiativen zu operationalisieren. Das Unternehmen bietet Databricks-zertifizierte Ingenieure, Migrationsbeschleuniger, Daten-Governance, MLOps und Branchenexpertise für Industriezweige wie Gesundheitswesen und Finanzdienstleistungen an.

Beschreibung

• Serve as a trusted advisor, guiding customers' data engineering and architecture strategy with a focus on Databricks solutions • Design, build, and deploy comprehensive data solutions for AI, ML, and business intelligence initiatives • Provide thought leadership on data trends • Partner with sales teams to present technical solutions to prospective clients • Manage multiple customer accounts and report on progress and outcomes • Architect solutions incorporating governance, security, and data quality best practices • Evaluate data sources and recommend inclusion strategies to strengthen analytics • Guide internal teams, mentor project teams, and educate end users on data products and analytic environments • Analyze systems, diagnose data and system defects, and apply appropriate fixes • Test data movement, transformation code, and data components for accuracy and reliability • Split time evenly between hands-on technical execution and presales support

🎯 Anforderungen

• 10+ years as a hands-on Solutions Architect and/or Senior Data Engineer • Recent experience implementing data solutions on Databricks • Expertise in Spark, Hadoop, Kafka, Databricks, pandas, and scikit-learn • Deep understanding of data modeling, ETL, data integration, and modern engineering techniques • Ability to run complex architecture discovery and solution design sessions and create implementation blueprints • Proficiency in Java, Python, and/or Scala • Experience with AWS, Azure, and/or GCP • Ability to write, debug, and optimize SQL queries • Strong written and verbal communication and client-facing experience • Ability to build and deliver detailed presentations to clients and stakeholders • Experience producing detailed solution documentation, including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views • Ability to take technical solutions into production with performance, security, scalability, and robust data integration • Experience managing, mentoring, and growing a team of engineers • Bachelor's degree in Computer Science or a related field • Residing in Pacific Time or on the West Coast strongly preferred • Preferred: familiarity with distributed storage systems including S3, ADLS, HDFS, GCS, Kudu, Elasticsearch/Solr, Cassandra, or other NoSQL systems • Preferred: experience with Spark, Kafka, StreamSets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure Data Factory, and IICS • Preferred: comprehensive SDLC experience • Preferred: automated data transformation and curation using dbt, Spark, Spark Streaming, and automated pipelines • Preferred: workflow management and orchestration using Airflow, AWS Managed Airflow, Luigi, and NiFi • Preferred: Financial Services, preferably banking, domain background • Preferred: understanding of banking IT compliance requirements and standards • Preferred: at least two listed certifications: Associate Developer for Apache Spark, Data Engineer Associate, Professional Data Engineer, Machine Learning Associate, or Professional ML Engineer

🏖️ Vorteile

• Health insurance coverage for employees and eligible family members from the first day of employment • Minimum of 20 days paid time off annually • Nine paid company holidays • Opportunities for professional development and career advancement • Opportunity to grow technical and people skills • Performance-based cash incentive awards • Innovative environment with cutting-edge technologies and industry leaders • Collaborative culture emphasizing collaboration and knowledge sharing