Data Engineering Architect

Full Time8+ YearsLouisville, KY

About Modak

Modak is a fast-growing data engineering firm that enables enterprises manage and utilize their data landscape effectively. Modak provides technology, cloud, and vendor agnostic to customer datafication initiatives. Modak uses machine learning (ML) techniques to transform how structured and unstructured data is prepared, consumed, and shared. Modak’s Nabu™ is an enterprise software product and has been covered in Gartner’s “Market Guide to Data preparation 2019.”

Job Description

The Data Engineering Architect will be responsible for Architecting & Engineering data pipelines for an enterprise data platform, democratizing datasets and enabling advanced analytics. The candidate will need to have hands on experience in low latency environments with deep understanding of data technology stacks from data modeling to underlying infrastructure particularly in a cloud based elastic infrastructure. We are looking for an Architect with strong data engineering background and experience implementing the full data lifecycle, including requirements gathering, solution design, development, and production deployment of transactional systems in large enterprise settings. This role participates in client projects across the organization and defines logical/physical data architectures that creates the foundation for application development and data analytics to deliver enhanced process automation and insights.

Mandatory Skills

  • B.S or M.S degree in Computing/Data/Data Science related field from top universities in US.
  • Minimum of 8+ years of experience in large scale data engineering and management responsible for delivering data migration initiatives.
  • Modern Data Management and Architecture skills to manage and process complex datasets across multiple sources.
  • Experience developing and maintaining data roadmaps, data standards, data domain structures and defining data asset types.
  • Experience with large scale Big Data and AI/ML platform engineering with recent coding experience in one or more of the following languages: Java, Python, Microsoft .NET
  • Modern Data Platforms - Expertise in data storage concepts and structures (relational/non-relational databases, data lakes, etc.)
  • Experience working with data-focused cloud technologies (GCP,AWS S3, Glue, RedShift, EMR, Dynamo DB, Azure DataLake, Azure Data Factory, Azure Databricks, Azure SQL, Cloudera, Hadoop)
  • Design platforms as consumable data services across the organization using Big Data tech stack.
  • Work with onshore and offshore data engineers to improve scalability and efficiency of data platforms.
  • Must be "self-motivated" as well as creative and efficient in proposing solutions to sophisticated, time-critical problems.
  • Demonstrates decision making skills through consistent logic, rational, and objective thinking, and reasoning.

Preferred Skills:

  • Experience migrating from Monolith to Distributed architectures and Cloud.
  • Experience coordinating with senior level leadership to craft their Database Architecture and IT Strategies
  • Experience working with remote teams, partners and mentoring junior data engineers.
  • Strong interpersonal skills and documentation experience.

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