Team Lead – Data Engineering & Data Science

Job Summary:

We are looking for a Team Lead – Data Engineering & Data Science with 10+ years of overall experience to lead teams responsible for building scalable data platforms, reliable pipelines, and production-grade data science solutions that directly support AI products and business outcomes. You will guide data engineers and data scientists across the full data lifecycle—from ingestion and transformation to analytics and applied machine learning.

• Lead, mentor, and support data engineers and data scientists across multiple initiatives
• Remain hands‑on in system design, architecture reviews, and complex problem‑solving
• Own technical direction for data platforms, batch and streaming pipelines, and ML‑enabled data products
• Ensure high standards for data quality, reliability, governance, and observability
• Guide design and implementation of scalable ETL/ELT workflows
• Support development, deployment, monitoring, and iteration of production ML models
• Collaborate with Product and Engineering leadership to align data initiatives with business goals
• Improve data tooling, workflows, and development standards across teams
• Support hiring, onboarding, and career development for data‑focused roles

• 3+ years of experience leading and mentoring data engineers and data scientists
• Proven ability to balance people leadership with technical ownership

• 10+ years of overall experience as a data engineer, data scientist, ML engineer, or full-stack engineer
• Remains hands‑on with architecture, reviews, and critical implementations

• 5+ years of experience building scalable batch and streaming data pipelines
• Strong understanding of data modeling, ETL/ELT, and pipeline reliability

• 3+ years of experience in applied data science and production ML systems
• Familiarity with model training, evaluation, deployment and monitoring

• 5+ years of experience designing cloud‑based data architectures
• Experience working with large‑scale structured and unstructured data

• Strong proficiency in Python for data processing and ML workflows (5+ years)

• 3+ years of experience ensuring data reliability, validation, observability, and compliance

• 3+ years of experience translating data and ML capabilities into business and product value
• Strong collaboration with Product and cross‑functional teams

• Data platform architecture and scalability
• Batch and streaming data pipeline design
• ML lifecycle and production readiness
• Data quality, governance, and observability
• Technical leadership and cross‑team collaboration
• Product‑focused prioritization and delivery
• Coaching, mentorship, and team development

• Experience with LLMs, embeddings, or retrieval‑based systems
• Familiarity with modern data tools such as Airflow, Prefect, dbt, Spark, Kafka, MS Fabric
• Experience with vector databases and feature stores
• Exposure to MLOps tools like MLflow, DVC, Azure ML
• Background in AI‑first or data‑driven product organizations

Newtide.ai is an enterprise AI company focused on the fuels and convenience retail industry. Founded in 2023, Newtide builds AI platforms and intelligent agents that integrate with existing systems to drive automation, insights, and business outcomes using Machine Learning and Generative AI. Headquartered in Charleston, SC, USA with a global presence including Kosice, Slovakia, Pune, India & Newtide is led by industry veterans with deep domain expertise.

, you’ll build real‑world AI products that power the fuels and convenience retail industry. We’re a fast‑growing, AI‑first company where small, empowered teams have true ownership and visible impact. You’ll work with experienced industry and technology leaders, solve meaningful engineering challenges using modern AI and cloud technologies, and help shape products trusted by enterprise customers. If you enjoy startup speed with an enterprise mindset, you’ll fit right in.

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