Data Solutions Architect – Financial Services

🕒 vor 18 Tagen

🌐 Vereinigte Staaten, Uruguay, +2 weitere Länder – Remote

🇺🇸 Vereinigte Staaten – Remote 🇺🇾 Uruguay – Remote 🇦🇷 Argentinien – Remote 🇲🇽 Mexiko – Remote

⏰ Vollzeit

🟠 Senior

🔴 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 on customers' data engineering and architecture strategies, focused on Databricks solutions • Design, build, and deploy end-to-end data solutions for AI, ML, and business intelligence initiatives • Partner with sales teams to present technical solutions and demonstrate SunnyData's offerings to prospective clients • Manage multiple customer accounts and report on progress and outcomes • Architect solutions using best practices in governance, security, and data quality • Evaluate data sources and recommend inclusion strategies to strengthen analytics • Guide internal teams, mentor project members, 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 • Lead technical execution and presales support, splitting time evenly between both areas

🎯 Anforderungen

• 7+ 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 end-to-end data analytics workflows • Ability to run 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 • Experience producing solution documentation, including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views • Experience managing teams and mentoring engineers • Ability to take technical solutions into production with performance, security, scalability, and robust data integration • Familiarity with distributed storage systems such as S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL systems • Experience with data integration technologies such as Spark, Kafka, StreamSets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure Data Factory, and IICS • Comprehensive SDLC experience covering design, documentation, implementation, testing, and deployment • Expertise in automated data transformation and curation using dbt, Spark, Spark Streaming, and automated pipelines • Experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, Luigi, and NiFi • Background in Financial Services, preferably banking • Understanding of banking IT compliance requirements and standards • At least 2 of the following certifications: Associate Developer for Apache Spark, Data Engineer Associate, Professional Data Engineer, Machine Learning Associate, or Professional ML Engineer • 4-year Bachelor's degree in Computer Science or a related field

🏖️ Vorteile

• Health insurance coverage for employees and eligible family members from the first day of employment • Minimum of 15 days Paid Time Off annually • Nine paid company Holidays • Opportunity to grow technical and people skills • Opportunity to lead teams on complex, innovative customer projects • Career growth opportunities • Performance-based cash incentive awards • Innovative environment with cutting-edge technologies • Collaborative culture and knowledge sharing