Data Analytics Lead Jobs in Charlotte, NC
Data Analytics Lead jobs in Charlotte are in strong demand, concentrated in Uptown, South End, and the University Research Park corridor across financial services, healthcare, and technology. Employers actively hiring include American Express, Citi, and SCOR. Scan the live roles below and apply to whichever ones fit.
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We are seeking an experienced Senior Data Engineer with deep expertise in Oracle-based analytical platforms and Apache Spark to support large-scale data modernization, migration, and analytics initiatives. The ideal candidate will have hands-on experience building high-performance data pipelines, optimizing large-scale data processing workloads, and integrating enterprise data platforms with modern cloud analytics solutions.
Key Responsibilities:
- Design, develop, and optimize large-scale data processing solutions using Apache Spark (PySpark/Scala) and Python.
- Build and maintain scalable ETL/ELT pipelines for analytical and reporting workloads.
- Optimize query performance, Spark jobs, and end-to-end data processing pipelines for high-volume batch and near real-time workloads.
- Design and implement data integration, replication, and ingestion solutions using technologies such as Oracle GoldenGate, Kafka, and CDC frameworks.
- Collaborate with application, data, and analytics teams to develop scalable data models and processing frameworks.
- Drive performance tuning initiatives across Oracle, Spark, and distributed data processing environments.
Required Qualifications:
- 8+ years of experience in Data Engineering or related roles.
- Strong hands-on experience with Apache Spark (PySpark and/or Scala) and Python.
- Deep understanding of Oracle databases supporting OLAP, data warehousing, and analytical workloads.
- Proven experience tuning and optimizing:
- Spark applications and execution plans
- Complex SQL queries
- Large-scale ETL/ELT processes
- High-volume batch processing workloads
- Strong SQL and data modeling skills.
- Experience with Oracle GoldenGate, CDC, or enterprise-scale data integration technologies.
Preferred Qualifications:
- Experience with Oracle Exadata and large-scale Oracle analytics platforms.
- Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataproc, Cloud Storage, Pub/Sub, and Dataflow.
- Experience integrating Oracle with cloud data platforms, data lakes, Kafka, Hadoop, or BigQuery.
- Experience with Azure, OCI, or multi-cloud data architectures.
- Experience supporting large-scale data migration and modernization programs.
- Ideal Candidate A hands-on data engineer with strong expertise in Oracle for analytical and data warehousing workloads, advanced Spark development and performance tuning skills, and experience building scalable cloud-based analytics solutions. Experience with Google Cloud and BigQuery is highly desirable.
We are seeking an experienced Senior Data Engineer with deep expertise in Oracle-based analytical platforms and Apache Spark to support large-scale data modernization, migration, and analytics initiatives. The ideal candidate will have hands-on experience building high-performance data pipelines, optimizing large-scale data processing workloads, and integrating enterprise data platforms with modern cloud analytics solutions.
Key Responsibilities:
- Design, develop, and optimize large-scale data processing solutions using Apache Spark (PySpark/Scala) and Python.
- Build and maintain scalable ETL/ELT pipelines for analytical and reporting workloads.
- Optimize query performance, Spark jobs, and end-to-end data processing pipelines for high-volume batch and near real-time workloads.
- Design and implement data integration, replication, and ingestion solutions using technologies such as Oracle GoldenGate, Kafka, and CDC frameworks.
- Collaborate with application, data, and analytics teams to develop scalable data models and processing frameworks.
- Drive performance tuning initiatives across Oracle, Spark, and distributed data processing environments.
Required Qualifications:
- 8+ years of experience in Data Engineering or related roles.
- Strong hands-on experience with Apache Spark (PySpark and/or Scala) and Python.
- Deep understanding of Oracle databases supporting OLAP, data warehousing, and analytical workloads.
- Proven experience tuning and optimizing:
- Spark applications and execution plans
- Complex SQL queries
- Large-scale ETL/ELT processes
- High-volume batch processing workloads
- Strong SQL and data modeling skills.
- Experience with Oracle GoldenGate, CDC, or enterprise-scale data integration technologies.
Preferred Qualifications:
- Experience with Oracle Exadata and large-scale Oracle analytics platforms.
- Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataproc, Cloud Storage, Pub/Sub, and Dataflow.
- Experience integrating Oracle with cloud data platforms, data lakes, Kafka, Hadoop, or BigQuery.
- Experience with Azure, OCI, or multi-cloud data architectures.
- Experience supporting large-scale data migration and modernization programs.
- Ideal Candidate A hands-on data engineer with strong expertise in Oracle for analytical and data warehousing workloads, advanced Spark development and performance tuning skills, and experience building scalable cloud-based analytics solutions. Experience with Google Cloud and BigQuery is highly desirable.
See All 40 Data Analytics Lead Jobs in Charlotte
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Find Data Analytics Lead JobsData Analytics Lead Job Market in Charlotte
Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Investment & Asset Management
- Consulting & Professional Services
- Accounting & Auditing
Data Analytics Lead Jobs in Charlotte: Frequently Asked Questions
How do I get a data analytics lead job in Charlotte?
Focus your search on Charlotte's financial services corridor in Uptown and the growing tech presence in South End and Ballantyne, where demand for data analytics leads is highest. Banking, fintech, and healthcare analytics are the strongest hiring sectors locally. Candidates who can show experience leading cross-functional data teams, translating insights into business decisions, and working with cloud-based platforms stand out in Charlotte's competitive market.
Which companies hire data analytics leads in Charlotte?
Companies currently hiring data analytics leads in Charlotte include American Express, Citi, and SCOR, per current listings on Migrate Mate as of September 2026. Charlotte's mix of major bank headquarters, regional healthcare systems, and fast-growing fintech firms means hiring comes from both large enterprises and mid-size analytics-driven organizations.
Are there remote data analytics lead jobs in Charlotte?
Yes, data analytics lead roles are well-suited to remote and hybrid arrangements given the desk-based, analytical nature of the work. About 67% of data analytics lead openings tied to Charlotte are remote or hybrid as of September 2026, with fully remote options most common in fintech and software-driven employers. Strategy, reporting, and stakeholder communication tasks are most frequently performed remotely in Charlotte-based roles.
How can I get a data analytics lead job in Charlotte with little or no experience?
The most realistic entry path in Charlotte is moving into a senior analyst role at one of the city's large financial institutions or healthcare systems, then building toward a lead title from within. Employers in South End's tech cluster and University Research Park's research-adjacent organizations also hire analytical professionals at earlier career stages. Building proficiency in SQL, Python, and a BI tool like Tableau or Power BI, combined with a portfolio of projects, makes the transition more competitive locally.
Which industries hire the most data analytics leads in Charlotte?
Charlotte data analytics lead roles concentrate in Technology & Software, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of September 2026. Charlotte's status as a major U.S. banking hub and its expanding healthcare and logistics sectors create sustained demand for experienced analytics leadership across the metro.
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