Lovelytics
Lovelytics
Lovelytics ir datu un mākslīgā intelekta konsultāciju uzņēmums, kas lieliem uzņēmumiem nodrošina stratēģijas, inženierijas, pārvaldības, migrācijas, analītikas un modernizācijas pakalpojumus. Uzņēmuma darbība aptver ģeneratīvo mākslīgo intelektu un mašīnmācīšanos, tostarp LLMOps un MLOps, kā arī datu vizualizāciju un mākoņdatošanas transformāciju. Lovelytics atbalsta Fortune 500 organizācijas tādās nozarēs kā enerģētika un komunālie pakalpojumi, mazumtirdzniecība un patēriņa preces, ceļošana, ražošana, veselības aprūpe, dzīvības zinātnes, sakari, plašsaziņas līdzekļi, izklaide, spēļu industrija un finanšu pakalpojumi. Lovelytics sadarbojas arī ar nozīmīgām tehnoloģiju platformām, piemēram, Databricks, AWS, Microsoft Azure, Google Cloud un 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.

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

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

Saistītās vakances

Terumo Medical Corporation

Region Manager, Terumo Interventional Systems Sales

Terumo Medical Corporation

Lead medical device sales across a North Central New Jersey region, managing field teams and hospital relationships. Drive regional revenue, sales performance, and compliant promotion of Terumo Interventional Systems products.

Atvērt