Data Architect

  • Philadelphia, PA
  • Posted 3 days ago | Updated 3 days ago

Overview

On Site
$60 - $70
Contract - Independent
Contract - W2
Contract - 6 Month(s)

Skills

ighByte and Hivemq
Dialogflow
Rasa
Microsoft
Java
or JavaScript
NLP
NLU
machine learning
and AI frameworks including TensorFlow
PyTorch
or Hugging Face
Scrum or Kanban

Job Details

JD:

Hands-on expertise with Databricks platform, Unity Catalog, Delta Lake, and Lakehouse architecture and streaming platforms like Kafka.

  • Strong skills in SQL, Python, Spark, and Azure cloud environment.
  • Proven experience migrating SAP HANA databases ,S/4 HANA and SAP applications to Azure cloud or other public clouds.
  • Develop data models, schemas, and data pipelines to support ETL/ELT processes, data warehousing, and analytics workloads in cloud environments.

Work closely with data scientists, engineers, business stakeholders, and cloud teams to translate business requirements into technical solutions. Lead teams, provide mentorship, and guide architectural best practices.

Knowledge in data modeling (OLTP, OLAP), metadata management, master data management (MDM), and data governance frameworks.

May also involve leadership functions such as guiding architecture decisions and mentoring teams

Good to Have:

Monitor cloud data solutions for performance, scalability, and cost, implementing optimizations to reduce cloud spend and improve efficiency.

Proficiency in programming languages such as Java, or JavaScript, and familiarity with chatbot development frameworks like Dialogflow, Rasa, Microsoft

Expertise in BI tools (e.g., Power BI, Tableau, ThoughtSPot, LookerStudio), NLP technologies, AI platforms, and data querying languages like SQL.

Strong understanding of NLP, NLU, machine learning, and AI frameworks including TensorFlow, PyTorch, or Hugging Face.

Experience with generative AI and large language models (LLMs), prompt engineering, and tuning AI models.

Certification in data architecture or related field

Experience with agile project management methodologies like Scrum or Kanban

Experience with IT service management frameworks like ITIL

Knowledge of Gen-AI architecture patterns, data quality, and cost optimization strategies in the cloud.

Familiarity with adb Genie, Cloudie

Hands on experience with HighByte and Hivemq

Familiarity with AI ethics, data privacy regulations, and responsible AI development practices.

Familiarity with Microsoft 365 Copilot, Power Platform, or similar automation tools can be advantageous.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.