We are seeking a Senior Data Engineer (Lead) to drive and own end-to-end data engineering initiatives. This role will lead all data engineering efforts, working closely with Data Science and Analytics teams to design scalable data platforms, enable advanced analytics, and support machine learning use cases.
The ideal candidate will bring deep expertise in cloud data engineering (GCP), strong data modeling capabilities, and proven experience in leading enterprise-grade data solutions.
Responsibilities- Lead and manage end-to-end Data Engineering delivery across projects and initiatives
- Act as the primary technical owner for data pipelines, architecture, and platform design
- Mentor and guide a team of data engineers, ensuring best practices and coding standards
- Design, build, and optimize scalable data pipelines on GCP
- Define and implement modern data architectures (data lake, lakehouse, warehouse)
- Ensure high performance, reliability, and data quality across pipelines
- Partner closely with Data Science teams to enable ML/AI workflows
- Translate business and modeling requirements into optimized data structures
- Support feature engineering, model training, and deployment pipelines
- Design logical and physical data models for analytics and ML use cases
- Implement dimensional modeling (Star/Snowflake schemas) and data vault where applicable
- Optimize datasets for performance, scalability, and usability
- Build and manage solutions using GCP services such as: BigQuery, Cloud Composer (Airflow), Cloud Storage, Dataproc
- Ensure security, governance, and cost optimization on GCP
Required Qualification and Skills:
- 8+ years of experience in Data Engineering, with leadership experience
- Strong expertise in GCP ecosystem and services
- Proficiency in SQL, Python, and/or Scala
- Hands-on experience with ETL frameworks and distributed processing
- Solid experience in Dimensional modeling, Data warehousing concepts, Data structures for ML/analytics
- Experience with Apache Spark and Real-time and batch processing frameworks
- Experience working with cross-functional teams (Data Science, Analytics, Business)
- Proven ability to lead, mentor, and drive delivery
- Strong ownership mindset with leadership capabilities
- Excellent problem-solving and architectural thinking
- Ability to operate in a fast-paced, collaborative environment
Preferred Qualifications:
- Experience in ML data pipelines / feature stores
- Knowledge of data governance, lineage, and quality frameworks
- Exposure to healthcare/payor domain (nice to have)
- Certifications in GCP (Professional Data Engineer)
Skills Required
- 8+ years of Data Engineering experience with leadership responsibilities
- Strong expertise in GCP ecosystem and services
- Proficiency in SQL and Python and/or Scala
- Hands-on experience with ETL frameworks and distributed processing
- Experience with Apache Spark
- Experience with real-time and batch processing frameworks
- Solid experience in dimensional modeling and data warehousing concepts
- Ability to design logical and physical data models for analytics and ML
- Proven ability to lead, mentor teams, and drive delivery
- Strong ownership, problem-solving, and architectural thinking
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
.png)
