Sr. Data Cloud Architect (Work from Home)

Big data, Cloud, ETL, Data management, SQL, VPN, QA, Amazon Web Services, EMR, Kubernetes, Microsoft Windows Azure, SQL Azure, Teradata, Netezza, Data integration, Data modeling, Oracle Data Integrator, SAP BODS, Good Clinical Practice, Reporting
Full Time
$120,000 - $180,000
Work from home available Travel required to 10%.

Job Description

Tredence is the first analytics services company focused on the last mile of analytics adoption. We partner with clients around the world to deliver on Artificial Intelligence and Machine Learning-fueled analytics solutions that bring competitive advantage and then helps ensure those solutions are successfully implemented all the way down to the front lines.


  • Lead the architecture and solution design that meets project objectives.
  • Develop Roadmap and Technical Solution Architecture for the Cloud Data Platform
  • Develop Data Ingestion and Processing framework on Azure.
  • Setup of infrastructure on Azure cloud including the development of ARM templates & PowerShell scripting for Infrastructure automation, VPN setup and Data Encryption.
  • Recommend tools/technologies that best address the problem statement.
  • Conduct proof of technology, wherever applicable, to prove the fitment and rationale.
  • Actively participate in architecture definition and reviews at different stages sales, strategy/advisory, implementation, and support.
  • Ability to provide technical leadership and hands-on assistance during Design, Build and Test cycles.
  • Define standards, guidelines and best practices in close collaboration with data engineers and project leadership.
  • Lead sessions with project teams to optimize the overall delivery quality from a technical solutions standpoint.
  • Work closely with IT Product/Application teams in technology selection, evaluation, recommendation and configuration for flexibility, long-term viability, and time to market.
  • Participate in conferences and events to build our brand in the marketplace.


  • Minimum 8 - 12 years of software design and development experience
  • Bachelor's and/or Master s degree in computer science
  • Experience architecting and operationalizing data and analytics platforms
  • Strong verbal and written communication skills are a must, as well as the ability to work effectively across internal and external organizations.
  • In-depth experience on the AWS (VPC, S3, Redshift, EMR) and Azure Cloud platform ( Data Factory, Databricks, SQL DB, Containers and Kubernetes Service)
  • Migration of Datasets from On-premise servers to Azure SQL DB using Data Factory ETL.
  • Experience leading and inspiring data management and data engineers
  • Interacting with the client & onsite teams to refine, reason and validate architecture design through compelling visual aids
  • Experienced in delivering end to end data management solutions covering all disciplines data ingestion, integration, processing, provisioning, profiling, quality, governance, master data, and metadata management
  • 6+ years experience with relational databases Oracle / SQL Server / Teradata / Netezza or any other database
  • 6+ years experience with data integration / ETL tools Informatica / Data Stage / Oracle Data Integrator / SAP BODS etc.
  • 4+ years experience with data modeling Conceptual, Logical and Physical Data Models
  • 2+ years experience with enterprise-scale metadata management tools/technologies
  • Solid understanding of distributed computing and experience in Big Data technology stack Hadoop, HIVE/HBase, Spark
  • Must have experience with data ingestion from a variety of sources structured, semi-structured and unstructured
  • Experience with performance optimization compression, indexing, partitioning, etc.
  • Must have experience with securing data at different levels storage encryption and decryption, data masking and obfuscation, row-level authorization
  • Must have knowledge and exposure to highly available and resilient data and analytics platform architectures
  • Experience in deploying Continuous Integration and Continuous Deployment Tools within the data and analytics platform
  • Experience with data lineage and orchestration in a complex data landscape
  • Exposure to data management in any Cloud platform AWS / Azure / GCP

Nice to have

  • Experience with data delivery Reporting solutions, Search / Exploration solutions, API based data provisioning, etc.
  • Exposure to any spatial and time-series databases

Posted By

Sam Llanes

111 E Wacker Dr, Suite 425 Chcago, IL, 60614

Dice Id : 10520768
Position Id : 6415925
Originally Posted : 2 months ago
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