Lovelytics
Lovelytics
Lovelytics एक डेटा और एआई परामर्श कंपनी है, जो बड़े उद्यमों को रणनीति, इंजीनियरिंग, गवर्नेंस, माइग्रेशन, एनालिटिक्स और आधुनिकीकरण सेवाएँ प्रदान करती है। इसका कार्य जनरेटिव एआई और मशीन लर्निंग, जिनमें LLMOps और MLOps शामिल हैं, के साथ-साथ डेटा विज़ुअलाइज़ेशन और क्लाउड ट्रांसफ़ॉर्मेशन तक फैला हुआ है। कंपनी ऊर्जा और उपयोगिता, खुदरा और उपभोक्ता वस्तुओं, यात्रा, विनिर्माण, स्वास्थ्य सेवा, जीवन विज्ञान, संचार, मीडिया, मनोरंजन, गेमिंग और वित्तीय सेवाओं जैसे क्षेत्रों में Fortune 500 संगठनों का समर्थन करती है। Lovelytics Databricks, AWS, Microsoft Azure, Google Cloud और Anthropic जैसे प्रमुख प्रौद्योगिकी प्लेटफ़ॉर्म के साथ भी काम करती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

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

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