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Data Architect/Lead Data Engineer

  • Job type Posted on: May 27, 2026
  • Experience level JConnect Infotech
  • Employment type Alpharetta, Georgia
  • Employment type Onsite
  • Salary Full-time

Job Title :

Data Architect/Lead Data Engineer

Job Type :

Full-time

Job Location :

Alpharetta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Data Architect/Lead Data Engineer Location: Alpharetta, GA Responsibilities - Designing and implementing scalable data architectures, data models, schema designs, and database optimizations. - Working with various database management systems (RDBMS, NoSQL) and data warehousing tools (Databricks, Snowflake, Redshift). - Leveraging big data frameworks (e.g., Spark) and cloud platforms (e.g., Azure) for distributed computing and data processing. - Developing and maintaining ETL processes using cloud-based data services and tools. - Implementing and enforcing data governance best practices including data lineage, quality management, and compliance. - Ensuring data security through a strong understanding of encryption, protocols, and regulatory compliance standards. Requirements - Proven experience in designing large-scale data systems. - Proficiency in big data frameworks, cloud platforms, and ETL tools. - Strong knowledge of data governance, security protocols, and compliance requirements. - Skills: Spark, Azure, Databricks, ETL.

Jobcon Logo Position Details

Posted:

May 27, 2026

Reference Number:

14660_5358439F3AA7C4C53ED027AA4147C39D

Employment:

Full-time

Salary:

Not Available

City:

Alpharetta

Job Origin:

APPCAST_CPC

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Data Architect/Lead Data Engineer Location: Alpharetta, GA Responsibilities - Designing and implementing scalable data architectures, data models, schema designs, and database optimizations. - Working with various database management systems (RDBMS, NoSQL) and data warehousing tools (Databricks, Snowflake, Redshift). - Leveraging big data frameworks (e.g., Spark) and cloud platforms (e.g., Azure) for distributed computing and data processing. - Developing and maintaining ETL processes using cloud-based data services and tools. - Implementing and enforcing data governance best practices including data lineage, quality management, and compliance. - Ensuring data security through a strong understanding of encryption, protocols, and regulatory compliance standards. Requirements - Proven experience in designing large-scale data systems. - Proficiency in big data frameworks, cloud platforms, and ETL tools. - Strong knowledge of data governance, security protocols, and compliance requirements. - Skills: Spark, Azure, Databricks, ETL.

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