Data Architect

Industry: Finance
Company size: 251-10K

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Job description

A fast-growing company helping real estate investors to realize the full potential of their real estate investment strategies is looking for a Data Architect. The selected candidate will help to create new products while collaborating with the Product, DevOps, and Data Science teams to explore different tools and processes. The US-based company offers funds to real estate investors to facilitate transactions, loans, and mortgage financing options. This is a great opportunity for developers to test their skills and build lucrative careers. 


Job Responsibilities:

  • Implement scalable processes for large-scale data processing
  • Develop robust data processing pipelines for various scenarios such as bulk Ingestion, real-time streaming applications, and ML processes
  • Develop data pipelines that provide low latency and are highly scalable in a complex environment
  • Collaborate with data scientists/product owners and be accountable for data processing needs from development to production
  • Evaluate and note down processes that improve data quality, data discoverability, data lineage, and data governance
  • Express technical and business risks to those concerned
  • Adapt to changing business conditions and new information quickly 
  • Actively influence the design and shape of the ML roadmap within this scope
  • Develop strong awareness of organizational health
  • Identify and make recommendations to solve complex issues
  • Deliver constructive feedback to team members 

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 4+ years of relevant experience as a software engineer
  • Demonstrated ability to ship complex large-scale data processing systems with low latency
  • Prolific experience with Azure Databricks
  • Demonstrable experience in building and developing ETL code in Python, PySpark, etc
  • Prior experience with SQL and NoSQL to process data, preferably in cloud databases such as Snowflake, Redshift, etc. 
  • Knowledge of data processing testing frameworks such as Great Expectations
  • Extensive experience working with Docker and Linux (preferably in Kubernetes)
  • Hands-on experience with data pipeline orchestration tools such as Airflow, Dagster, Prefect, etc.
  • Working experience in Agile and test-driven methodologies
  • Strong verbal and written communication skills
  • Analytical skills and passion for answering questions with data
  • Fluent in verbal and written English

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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