Senior Lead Data Engineer (BODS) - R01568221

We are seeking an experienced Lead Data Engineer to take end-to-end ownership of Enterprise Data Warehouse (EDW) solutions. This role will be responsible for designing, architecting, and optimizing scalable, secure, and high-performance data pipelines using SAP BODS, IBM DataStage, Redwood, SQL, Oracle, and modern data platforms.

The ideal candidate will combine strong hands-on technical expertise with leadership capabilities to drive data engineering best practices and deliver enterprise-grade data solutions aligned with business objectives.

Key Responsibilities

1. EDW Architecture & Data Engineering

• Design and implement scalable data integration and transformation frameworks for the Enterprise Data Warehouse.


• Architect and optimize ETL/ELT pipelines using SAP BODS and IBM DataStage.


• Develop and maintain robust data models (Star/Snowflake schemas, SCD implementation).


• Ensure high availability, reliability, and performance of data pipelines.


• Implement data governance, security, and compliance standards.

2. ETL Development & Optimization

• Develop complex data workflows and transformations.


• Perform performance tuning of ETL jobs and SQL queries.


• Optimize batch processing and scheduling using Redwood.


• Implement error handling, logging, and monitoring mechanisms.


• Manage incremental loads and data reconciliation processes.

3. Database & SQL Development

• Write and optimize complex SQL queries, stored procedures, and functions.


• Work extensively with Oracle databases and related technologies.


• Design and manage indexing strategies and query optimization.


• Support database performance analysis and tuning.

4. Leadership & Team Management

• Lead and mentor a team of data engineers.


• Conduct code reviews and enforce development standards.


• Drive technical best practices and architecture governance.


• Collaborate with cross-functional teams including BI, Analytics, and Application teams.


• Participate in sprint planning, estimation, and technical roadmap discussions.

5. Stakeholder Collaboration

• Work closely with business stakeholders to gather and translate requirements into technical solutions.


• Provide technical guidance and solution recommendations.


• Ensure alignment between enterprise data strategy and business goals.


• Support production issue resolution and root cause analysis.

Required Skills

Technical Expertise

• Strong experience with SAP BODS


• Hands-on experience with IBM DataStage


• Experience with Redwood scheduling


• Advanced SQL development


• Strong expertise in Oracle database


• Deep understanding of Enterprise Data Warehouse architecture

Data Engineering Concepts

• Data modeling (Star/Snowflake schema, SCD Types)


• ETL/ELT best practices


• Data quality frameworks


• Performance tuning and optimization


• Data security and governance standards

Preferred / Good to Have

• Experience with modern cloud data platforms (Azure, AWS, GCP)


• Knowledge of Snowflake, Databricks, or Synapse


• CI/CD implementation for data pipelines


• Exposure to data cataloging and metadata management tools


• Experience in Agile/Scrum methodologies

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.


• 5+ years of experience in Data Engineering.


• 2+ years of experience in leading technical teams.

Key Competencies

• Strong architectural and analytical skills


• Leadership and mentoring capability


• Excellent communication and stakeholder management


• Problem-solving mindset


• Ability to drive enterprise-scale data initiatives