Cloud Data Specialist (Azure) - Vice President
Company: SMBC Group
Location: Charlotte
Posted on: January 17, 2026
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Job Description:
SMBC Group is a top-tier global financial group. Headquartered
in Tokyo and with a 400-year history, SMBC Group offers a diverse
range of financial services, including banking, leasing,
securities, credit cards, and consumer finance. The Group has more
than 130 offices and 80,000 employees worldwide in nearly 40
countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the
holding company of SMBC Group, which is one of the three largest
banking groups in Japan. SMFG’s shares trade on the Tokyo, Nagoya,
and New York (NYSE: SMFG) stock exchanges. In the Americas, SMBC
Group has a presence in the US, Canada, Mexico, Brazil, Chile,
Colombia, and Peru. Backed by the capital strength of SMBC Group
and the value of its relationships in Asia, the Group offers a
range of commercial and investment banking services to its
corporate, institutional, and municipal clients. It connects a
diverse client base to local markets and the organization’s
extensive global network. The Group’s operating companies in the
Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko
Securities America, Inc., SMBC Capital Markets, Inc., SMBC
MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco
Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and
Leasing Co., Ltd. Role Description SMBC is looking for a Azure
Cloud Data Engineer in the Production Support group with a strong
Azure DataFactory and Databricks knowledge. Candidate should be
able to provide support for Azure based data integration and
analytics pipelines built using Azure Data Factory and Azure
Databricks ensuring the uptime and performance of critical
pipelines and workflows. This role should also have knowledge of
complex interface process development and is required to
troubleshoot issues. Role Objectives Monitor, troubleshoot and
support ADF pipelines and Databricks notebooks/jobs in Production.
Extensive experience on Cloud solutions, specifically in Azure
Experience with Azure cloud services, Azure Data Factory, Gen 2,
Azure Databases, Functions, Databricks, or similar technology. Good
understanding of ETL/ELT Analyze pipeline failures, spark job
issues, data mismatches, cluster timeouts, resource unavailability
and latency bottlenecks. Root cause analysis for incidents and
outages. Understand the ADF Components and architecture. Knowledge
of data integration techniques and best practices. Experience with
connection to various data sources and destinations. Ability to
orchestrate complex data workflows and transformation. Monitoring
and troubleshooting data pipeline executions. Familiarity with ADF
data flow activities for data transformations. Version control and
deployment management using Azure DevOps or similar tools Awareness
of ADF Integration with Azure services like Azure Data Lake
Storage, Azure Databricks, etc. Skills in implementing streaming
and batch data ingestion using Delta Lake. Skills in implementing
data pipelines and workflows in Databricks. Familiarity with
Databricks notebooks for interactive data exploration and
development. Integrating Databricks with Azure Services like ADLS
Gen2, Azure SQLdb. Monitoring and optimizing Databricks jobs for
cost efficiency. Proficiency in Git for managing code repositories,
including branching, merging and pull requests. Support CI/CD
pipelines for deployment using Azure DevOps. Participate in on-call
rotation and ensure business continuity via proper DR strategies.
Experience with RDBS systems like Azure SQL DB, Oracle, and NoSQL
Databases like MongoDB Understanding of indexing, partitioning, and
other optimization techniques. Experience with stored procedure,
functions, and triggers. Ensure High Availability (HA) of ADF
pipelines and auto-scaling/failover readiness of Databricks
clusters. Manage alerts, incidents and escalations using
ServiceNow, Azure Monitor, Log Analytics etc., Proficiency in Git
for managing code repositories, including branching, merging and
pull requests. Experience with Confluence, ServiceNow & JIRA.
Review and provide feedback on core code changes and support
production deployment Knowledge on ETL DataStage Application would
be a plus. Azure Monitor, Application Insights, Log Analytics.
Cluster and pipeline-level metrics and logs. Qualifications and
Skills Recommended years of experience: 7 Strong hands-on
experience with Azure Data Factory (ADF) - Pipeline orchestration,
linked services, integration runtimes. Experience in Azure Data
Bricks – running and debugging notebooks, clusters, spark job logs.
Proficient in SQL – Writing/debugging queries, validating data.
Good understanding of Azure Services: ADLS, Key Vault, Azure
Monitor, Log Analytics. Familiarity with Azure DevOps pipelines and
Git Integrations. Scripting knowledge: Python, PowerShell, or Bash.
Understanding of Spark concepts and Delta Lake (Preferred). Ability
to work on weekends for maintenance, production implementations,
recovery tests and system verifications / validations. Ability to
address production issues from home outside of normal business
hours. Additional Requirements SMBC’s employees participate in a
Hybrid workforce model that provides employees with an opportunity
to work from home, as well as, from an SMBC office. SMBC requires
that employees live within a reasonable commuting distance of their
office location. Prospective candidates will learn more about their
specific hybrid work schedule during their interview process.
Hybrid work may not be permitted for certain roles, including, for
example, certain FINRA-registered roles for which in-office
attendance for the entire workweek is required. SMBC provides
reasonable accommodations during candidacy for applicants with
disabilities consistent with applicable federal, state, and local
law.
Keywords: SMBC Group, Winston-Salem , Cloud Data Specialist (Azure) - Vice President, IT / Software / Systems , Charlotte, North Carolina
