Lovelytics
Lovelytics
Lovelytics este o companie de consultanță în domeniul datelor și inteligenței artificiale, care oferă marilor întreprinderi servicii de strategie, inginerie, guvernanță, migrare, analiză și modernizare. Activitatea sa acoperă inteligența artificială generativă și învățarea automată, inclusiv LLMOps și MLOps, precum și vizualizarea datelor și transformarea în cloud. Compania sprijină organizații din Fortune 500 din sectoare precum energie și utilități, comerț cu amănuntul și bunuri de consum, turism, producție, sănătate, științele vieții, comunicații, media, divertisment, jocuri și servicii financiare. Lovelytics colaborează, de asemenea, cu platforme tehnologice majore precum Databricks, AWS, Microsoft Azure, Google Cloud și Anthropic.

Senior Data Solution Architect (Remote, United States)

Design scalable Databricks lakehouses, data pipelines, and cloud architectures for enterprise consulting clients. Lead technical delivery and guide data engineering solutions at Lovelytics.

Descriere

  • Develop long-term data strategies that align client objectives with industry standards
  • Design and oversee enterprise-scale lakehouse and warehouse solutions using Databricks and other cloud-native technologies
  • Build architectures that connect on-premises systems with multiple cloud environments
  • Define batch and streaming ingestion, real-time processing, and ELT/ETL architectures
  • Maintain security, privacy, compliance, and data quality across large-scale environments
  • Resolve complex data engineering problems and make decisions that reduce delivery risk
  • Evaluate and introduce relevant technologies and delivery methods
  • Improve solution performance, cost efficiency, scalability, and maintainability
  • Coach engineers, review architectures and code, and support implementation teams
  • Lead technical discovery, develop solution architectures, answer RFPs, and deliver demonstrations and proofs of concept
  • Produce technical blueprints and advise on tools, frameworks, and architectural patterns
  • Collaborate with sales and account teams to scope projects and develop technical proposals

Cerințe

  • Bachelor’s or master’s degree in computer science, engineering, or a related discipline
  • At least 8 years of experience spanning data engineering, analytics architecture, governance, and cloud, including large-scale cloud deployments
  • At least 4 years in a client-facing professional services role involving scoping, architecture development, and presales participation
  • Demonstrated experience designing and delivering modern data lakehouses, warehouses, and pipelines on AWS, Azure, or GCP
  • Expertise in Databricks and Spark is required
  • Experience developing proofs of concept, presenting in technical presales settings, and pricing engagements
  • Strong client communication skills, with the ability to influence technical and executive stakeholders
  • Experience using Google Workspace, macOS, Slack, and Atlassian tools

Beneficii

  • Recognition as a Best Place to Work
  • Commitment to equal employment opportunity

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