A

Data Architect

Arkhya Tech. Inc. • United State
Remote
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AI Summary

Lead the design and implementation of enterprise-grade data solutions for analytics, reporting, and business intelligence. Build scalable cloud-based data architectures, warehouses, lakes, and integration platforms. Requires strong expertise in SQL, ETL/ELT, data governance, and cloud platforms like Snowflake, Databricks, or Redshift.

Key Highlights
Enterprise data architecture and cloud platform design
SQL, ETL/ELT, and data integration expertise
Experience with Snowflake, Databricks, Redshift, or BigQuery
Key Responsibilities
Design scalable enterprise data architectures and cloud-based data platforms
Build and optimize data warehouses, data lakes, and integration solutions
Define data modeling standards, governance, and best practices
Partner with engineering, analytics, and business teams to deliver high-impact data solutions
Provide technical leadership, architecture guidance, and mentorship
Technical Skills Required
SQL ETL/ELT Data Warehouses Data Lakes Lakehouse Architectures Data Governance Metadata Management Data Quality Data Security BI platforms (Power BI, Tableau, Looker) Spark Kafka Airflow dbt AWS Glue
Benefits & Perks
Remote work

Job Description


We Are Hiring: Data Architect || Remote || Contract/ Full Time


We are looking for an experienced Data Architect to lead the design and implementation of enterprise-grade data solutions that power analytics, reporting, and business intelligence across the organization.


Location: Remote (USA)

Employment Type: Full-time / Contract


What We Are Looking For:

  • Strong experience in Data Architecture and Enterprise Data Modeling
  • Expertise in SQL, ETL/ELT, and Data Integration
  • Hands-on experience with AWS (preferred), Azure, or Google Cloud
  • Experience with Snowflake, Databricks, Redshift, BigQuery, or Synapse
  • Strong knowledge of Data Warehouses, Data Lakes, and Lakehouse Architectures
  • Understanding of Data Governance, Metadata Management, Data Quality, and Security
  • Experience with Power BI, Tableau, Looker, or similar BI platforms
  • Familiarity with Spark, Kafka, Airflow, dbt, AWS Glue, or related technologies


Key Responsibilities:

  • Design scalable enterprise data architectures and cloud-based data platforms
  • Build and optimize data warehouses, data lakes, and integration solutions
  • Define data modeling standards, governance, and best practices
  • Partner with engineering, analytics, and business teams to deliver high-impact data solutions
  • Provide technical leadership, architecture guidance, and mentorship


This is an excellent opportunity to work on enterprise-scale data initiatives in a fully remote environment while collaborating with talented teams across multiple business domains.


Interested? Send your resume to [email protected]


Know someone who is a great fit? Please like, share, or tag them in the comments!


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