Data Engineering Visionary
6 days ago
About Publicis Sapient
As a global digital transformation partner, we empower organizations to innovate and grow through strategy, consulting, agile engineering, and creative problem-solving.
We help clients achieve their future goals by fusing technology, data science, and customer obsession, with over 20,000 professionals worldwide.
Job Description
We seek an exceptional Senior Architect of Data Engineering to lead top-notch technologists in delivering transformative solutions for our enterprise clients.
You will create impact for leading brands by translating their needs into valuable insights, working with the latest data technologies.
Your responsibilities include:
- Acting as a trusted advisor to clients, leveraging data for customer acquisition and engagement in large-scale digital transformations
- Advancing the application of large-scale data platforms as a core building block for connecting brands with consumers and enabling business transformation
- Collaborating closely with clients to understand their needs and translate them into technology solutions
- Providing expertise as a technical resource to solve complex business issues related to data integration and database systems design
- Shaping opportunities and creating execution approaches throughout client engagements
- Ensuring high-quality deliverables by setting development standards, adhering to standards, and participating in code reviews
- Mentoring, supporting, and managing team members
Your Skills & Experience
We are looking for individuals with:
- Exceptional data engineering skills with distributed computing background and proven experience in delivering large-scale data platforms
- A good grasp of analytics, measurement, reporting, and business intelligence, including modeling, insights generation, and data science
- Hands-on experience with big data ecosystem tools, including data integration, storage, compute frameworks, analytics, and advanced visualization (e.g., LTE Tools, Streaming Tools, No-SQL databases, Spark, Airflow, Reporting Tools, AI/ML Platforms)
- Hands-on experience with Google Cloud Platform (GCP) and BigQuery
- Proficiency in Python coding
- Expertise in data governance for the big data space, including knowledge of various MDM/entity resolution solutions
- Experience with large language models (LLM) performance and fine-tuning
- Experience in implementing retrieval augmented generation (RAG)
- Ability to lead teams that rapidly learn the client's current digital ecosystem and produce a future data landscape vision and strategy considering the transformation agenda and business goals
- A point of view on build vs. buy, performance considerations, hosting, commercial models, business intelligence, reporting, and analytics
- Excellent client communication and facilitation skills, ability to influence others and gain consensus, and team collaboration
- A combination of proficient consulting, business, strategy, technical, and people skills
Benefits of Working Here
We offer:
- Flexible vacation policy
- 16 paid holidays throughout the year
- Generous parental leave and new parent transition program
- Tuition reimbursement
- Corporate gift matching program
Compensation
The estimated salary range is $147,000 - $200,000 per annum, reflecting the level of responsibility, required skills, and industry standards.
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