Address: San Diego, CA 92101
Telephone: 901-207-8038
Email Address: smithassociates1725@gmail.com
Hours: Office Hours – 3:30 PM – 8:00 PM CST
We are seeking a highly skilled SigmaFlow Subject Matter Expert (SME) with experience in database technologies and to support, optimize, and extend SigmaFlow-based data pipelines and workflows. This role will serve as the technical authority for SigmaFlow implementations, ensuring reliable data ingestion, transformation, analytics, and integration with enterprise systems. The ideal candidate combines hands-on engineering skills with architectural insight, and can partner effectively with data engineers, platform teams, and business stakeholders to deliver scalable, performant, and secure data solutions.
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Position Title : Data Engineer /Architect – Sigma Flow SME
ATTENTION : ” $TOP PAY “(Interviewing Now)
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Location : San Diego, CA
Full time : Data Scientist Architectural Design
Salary : Competitive
– Candidates in San Diego are preferred, however, the role is remote, but the
candidates MUST work in PST Hours.
– NEED LOCAL CANDIDATES WITH THE DL.
– Need LinkedIn with the full location & profile picture.
Summary :
– We are seeking a highly skilled SigmaFlow Subject Matter Expert (SME) with
experience in database technologies and to support, optimize, and extend
SigmaFlow-based data pipelines and workflows.
– This role will serve as the technical authority for SigmaFlow implementations,
ensuring reliable data ingestion, transformation, analytics, and integration with
enterprise systems.
– The ideal candidate combines hands-on engineering skills with architectural
insight, and can partner effectively with data engineers, platform teams, and
business stakeholders to deliver scalable, performant, and secure data
solutions.
Key Responsibilities SigmaFlow Platform Ownership :
• Act as the primary technical authority for SigmaFlow design, configuration,
and operational best practices
• Design, implement, and maintain SigmaFlow workflows for batch and
near-real-time data processing
• Optimize existing SigmaFlow pipelines for performance, reliability, and
scalability
• Troubleshoot and resolve complex workflow failures, data quality issues,
and performance bottlenecks Database & Data Engineering
• Design and maintain integrations between SigmaFlow and relational and
non-relational databases (e.g., Oracle, PostgreSQL, SQL Server, MySQL,
Snowflake, or similar)
• Develop efficient SQL queries, stored procedures, and data models to
support analytics and downstream applications
• Ensure data integrity, lineage, and consistency across multiple data
sources
• Support large-volume data ingestion, transformation, and archival
strategies Integration & Architecture
• Collaborate with enterprise architects to design end-to-end data flow
architectures
• Integrate SigmaFlow with upstream and downstream systems such as
OMS, ADMS, AMI, GIS, and enterprise data lakes (where applicable)
• Support CI/CD pipelines for SigmaFlow and Python-based
deployments
• Ensure solutions align with security, compliance, and governance
standards Operations & Support
• Provide Tier 3 / SME-level support for production incidents and platform
issues
• Participate in root cause analysis (RCA) and implement long-term
corrective actions
• Create operational runbooks, standards, and technical documentation
• Mentor engineers and analysts on SigmaFlow, Python, and database
best practices Required Qualifications
Technical Skills :
• 5+ years of experience in data engineering, workflow orchestration, or
analytics platforms
• Demonstrated hands-on expertise with SigmaFlow (design,
configuration, troubleshooting)
• Some understanding of Python for data processing, automation, and
integrations
• Advanced proficiency in SQL and relational database design
• Experience working with large datasets and high-availability data
platforms Platform & Tooling
• Experience with Linux-based environments
• Familiarity with version control systems (Git)
• Experience with job scheduling, workflow orchestration, or ETL tools
• Understanding of monitoring, logging, and alerting practices Preferred
Qualifications :
• Experience in utility, energy, grid operations, or critical infrastructure
environments
• Familiarity with real-time or near-real-time data processing systems
• Experience integrating with cloud data platforms or hybrid
environments
• Knowledge of data governance, metadata management, and
compliance requirements
• Exposure to containerization or DevOps practices Soft Skills &
Competencies
• Ability to operate as a trusted technical advisor and SME
• Strong analytical and problem-solving skills
• Excellent communication skills—able to explain complex technical
concepts to non-technical stakeholders
• Self-directed, detail-oriented, and comfortable working in mission
critical environments What Success Looks Like in This Role
• SigmaFlow workflows are stable, performant, and well-documented
• Data pipelines are reliable, scalable, and easy to support
• Python automation reduces manual effort and improves operational
efficiency
For consideration you must act now, send resume to
smithassociates1725@gmail.com. Sincerely,
Gerald Smith
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