Sr Manager, Data Engineering

enableIT; Houston (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

enableIT is seeking a Senior Manager, Data Engineering to drive enterprise data architecture across Lakehouse platforms and cloud-native data services. The role emphasizes leadership in data governance, real-time data integration, and data mesh adoption.

The candidate will oversee architecture for trading, risk, scheduling, and market operations, while mentoring engineers and leading workshops on design reviews.

Qualifications

• Must have industry experience in Energy, Oil & Gas, Commodity Trading, Utilities, or Capital Markets.
• Experience with Lakehouse architecture and cloud-native data platforms.
• Databricks and AWS data services expertise.
• Knowledge of Data Mesh and Data Product concepts.
• Snowflake is preferred.

Responsibilities

• Lead enterprise-wide data architecture strategies aligned with business and tech objectives.
• Develop current/future-state architecture across data platforms, integrations, analytics, and reporting.
• Define scalable Lakehouse architecture and cloud-native data platform strategies.
• Provide architecture leadership for transformation, modernization, and cloud migration.
• Architect data solutions for trading, risk, scheduling, settlements, and market operations.
• Design enterprise data integration patterns across platforms and ERP systems.
• Lead data modeling and Data Product/Data Mesh initiatives.
• Establish standards for governance, metadata, lineage, and data quality.
• Architect batch, micro-batch, near-real-time, and event-driven integrations.
• Develop roadmaps and lead architecture workshops and reviews.
• Mentor architects, engineers, and technical leads.

Skills

Energy sector experience

Lakehouse architecture

Databricks

AWS data services

Data Mesh concepts

Data Product

Data governance

Real-time architecture

Data modeling

Leadership

Tools

Snowflake

Job description

We are seeking a Senior Manager, Data Engineering with strong experience in enterprise data architecture, cloud data platforms, Lakehouse architecture, and data engineering.

Must have industry experience in Energy, Oil & Gas, Commodity Trading, Utilities, or Capital Markets.

Key Responsibilities

• Lead enterprise-wide data architecture strategies aligned with business and technology objectives.
• Develop current-state and future-state architecture across data platforms, integrations, analytics, and reporting.
• Define scalable Lakehouse architecture and cloud-native data platform strategies.
• Provide architecture leadership for transformation, modernization, and cloud migration initiatives.
• Architect data solutions supporting trading, risk management, scheduling, settlements, and market operations.
• Design enterprise data integration patterns across trading platforms, ERP systems, operational applications, and analytical platforms.
• Lead enterprise data modeling and Data Product / Data Mesh initiatives.
• Establish standards for data governance, metadata, lineage, quality, and regulatory compliance.
• Architect batch, micro-batch, near-real-time, and event-driven data integration solutions.
• Develop data architecture roadmaps and lead architecture workshops and design reviews.
• Mentor architects, engineers, and technical leads.

Required Skills:

• Mandatory: Experience in Energy, Oil & Gas, Commodity Trading, Utilities, or Capital Markets.
• Data Engineering and Lakehouse architecture.
• Databricks.
• AWS Data Services.
• Data Mesh and Data Product concepts.
• Snowflake preferred.
• Real-time and event-driven architecture.
• Data modeling, governance, metadata, lineage, and data quality.
• Experience establishing architecture governance and enterprise standards.
• Strong leadership, stakeholder management, and communication skills.
• Cloud and Databricks certifications preferred.