Bitful Logo

Bitful

Data Architect

Reposted One Month Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
Develop and maintain datasets for visualization and machine learning; automate data pipelines; partner with teams to build data products.
The summary above was generated by AI
  • Your team will develop datasets that enable data visualization, machine learning and data driven decision making across client product line
  • Working with structured and unstructured datasets and automating data pipelines to ingest, analyze, validate, normalize and clean data in a hybrid multi-cloud environment
  • Building data ingestion pipelines from multiple data sources using Data Bricks and Apache Spark
  • Partnering with analysts, solution architects, modelers and developers to build data product and data pipelines.
  • Providing technical and thought leadership

Requirements
  • Strong T-SQL Skills with experience in Snowflake
  • Familiarity with CI/CD methods
  • Significant experience in Python development
  • Highly proficient at PySpark development
  • Solid grasp of database engineering and design principles
  • Current Databricks Certification
  • Experience in building business stakeholder relationships at all levels, leadership communications and managing project delivery from design to launch

Benefits
  • Education Assistance/Student Loan Repayment - up to $2400 annually
  • Remote work allowance
  • Internet reimbursement
  • Bench pay
  • Profit share
  • Healthcare reimbursement
  • 401k - 4% match
  • Short-Term disability
  • Long-Term disability
  • Life Insurance

Similar Jobs

Yesterday
In-Office or Remote
New York, NY, USA
113K-193K Annually
Senior level
113K-193K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Designs and leads complex data architectures, analytical solutions, reporting frameworks, data models, and integration strategies. Partners with business and technical stakeholders to solve complex problems, conduct advanced analyses, improve processes, and deliver actionable insights. Leads cross-functional initiatives, mentors technical professionals, reviews solution designs, ensures data governance and quality, and provides technical direction for high-impact projects.
Yesterday
Remote or Hybrid
United States
160K-180K Annually
Senior level
160K-180K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.
Top Skills: AWSAzureDatabricksDbtDelta LakeGCPGraphQLLlmsPower BIRagRestSnowflakeSnowflake Unity CatalogTableau
4 Days Ago
Remote or Hybrid
US
128K-193K Annually
Expert/Leader
128K-193K Annually
Expert/Leader
Information Technology
Designs and delivers Snowflake data architectures on AWS, including dbt-based data engineering and AI-enabled solutions. Leads RAG, vector search, embedding, semantic search, and analytics initiatives from proof of concept through production. Directs project teams, oversees solution quality and budgets, supports proposals and business cases, and serves as a trusted technical advisor to clients. Requires strong data engineering, governance, documentation, communication, and stakeholder-management skills, with travel as needed.
Top Skills: AWSDbtEmbedding PipelinesGenerative AiPrompt OrchestrationRetrieval-Augmented GenerationSemantic SearchSnowflakeSQLVector Search

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account