
Data Strategy Consultant
- Irving, TX
- Permanent
- Full-time
- Capgemini's FS Division is looking for a strategy consultant to understand and implement its data strategy across the clients division aligning to its firm approved data strategy and practices.
- This role will be coordinating with CTO to implement any new data strategies on premise and cloud
- Partner with CTO and key IT leaders stakeholders to advise and implement data strategy and framework aligned with the firm's needs and divisional objectives
- Architect and implement enterprise-grade solutions for data management, focusing on data integrity, integration, and distribution capabilities
- Develop and improve existing data models to accurately represent end to end business processes, ensuring they're scalable and fully integrate with the extensive data architecture
- Design and implement scalable data pipelines, orchestrating complex workflows across our systems.
- Drive technology modernization efforts by helping transition legacy systems to the next-generation data solution
- Guide and mentor junior data engineers, promoting best practices in SQL, Python, and cloud technologies, and fostering a culture of continuous learning and improvement.
- Ensure data quality, governance, and compliance with relevant internal standards and external regulations
- Evaluate and recommend modern data technologies, tools, and platforms.
- Implement best practices in data modeling, ETL/ELT processes, and real-time data streaming.
- Drive automation and CI/CD practices in data engineering workflows.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in data engineering, with at least 3 years in a leadership role.
- Proven experience designing and building large-scale data platforms.
- Strong expertise in SQL, Python/Scala, Spark, Kafka, and cloud data services from AWS and Snowflake.
- Familiarity with data governance frameworks and security best practices.
- Evaluate and recommend modern data technologies, tools, and platforms.
- Implement best practices in data modeling, ETL/ELT processes, and real-time data streaming.
- Drive automation and CI/CD practices in data engineering workflows.
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Mentoring, coaching and learning programs
- Employee Resource Groups
- Disaster Relief