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RevStar
RevStar
51 – 200 Angajați
B2BConsultanțăInteligență artificială
RevStar este o companie de consultanță în transformare digitală, care ajută organizațiile să transforme prioritățile strategice în produse și servicii funcționale. Echipa sa reunește planificarea creșterii, proiectarea parcursului clientului, planificarea utilizării inteligenței artificiale și a inteligenței artificiale generative, infrastructura de date, testarea produselor, dezvoltarea MVP-urilor și modernizarea tehnologiei. RevStar colaborează cu lideri din domeniul sănătății, al asigurărilor și al finanțelor pentru a aborda provocări esențiale, conectând direcția strategică cu execuția tehnică practică. Informațiile disponibile nu precizează contextul de recrutare al companiei.
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Senior Forward Deployed Engineer, Databricks

Design Databricks Lakehouse, data, and generative AI solutions for RevStar enterprise clients. Lead platform migrations and help customers adopt new capabilities.

USStatele Unite ale AmericiiAZArizonaFLFloridaTXTexasRemoteNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer
Amazon RedshiftAWSCloudHadoopPySparkPythonSparkSQLUnity

Descriere

  • Build and deploy production data pipelines, analytics engines, and generative AI applications with Databricks, Spark, Python/PySpark, and cloud platforms.
  • Lead technical delivery for strategic enterprise client engagements.
  • Work with executives and data and engineering leaders to turn business needs into technical solutions.
  • Migrate data warehouses and platforms, including Snowflake, Teradata, Hadoop, and SQL Server, to Databricks Lakehouse.
  • Help customers adopt generative AI, RAG, model fine-tuning, MLflow, and Databricks Mosaic AI.
  • Find valuable technical use cases, grow Databricks adoption, and deliver measurable client returns.
  • Coach junior solution engineers, architects, and consultants.
  • Develop RevStar code libraries, reusable accelerators, and delivery practices.

Cerințe

  • At least five years of hands-on experience in data engineering, machine learning, or solutions architecture.
  • At least three years of in-depth Databricks experience, including Delta Lake, Unity Catalog, MLflow, Spark/PySpark, Databricks Workflows/Jobs, and Mosaic AI.
  • Practical experience designing and deploying RAG pipelines, fine-tuning LLMs, using vector databases, and managing end-to-end ML pipelines.
  • Strong cloud-native architecture skills; AWS is preferred, including S3, Glue, Lambda, and Redshift.
  • A proven record of migrating legacy enterprise data warehouses or lakes to Databricks.
  • Databricks Certified Data Engineer Professional and/or Machine Learning Professional certification preferred.
  • Experience leading technical delivery for Fortune 500 or other large enterprise clients.
  • Healthcare, retail, or consumer goods experience is a strong plus.
  • Excellent verbal and written communication skills.
  • Confidence presenting technical architectures, building proofs of concept and demos, and managing stakeholders through the C-suite.
  • Ability to identify technical growth opportunities in existing accounts and advocate for broader platform adoption.

Beneficii

  • Paid time off.
  • Remote-first work environment.
  • Medical, dental, and vision coverage.
  • 401(k) retirement plan.
  • Annual learning and development stipend.
  • Peer mentorship and coaching.
  • Professional development opportunities.
  • Company outings and volunteer opportunities.
  • Collaborative, innovative culture.

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