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Intapp

Senior AI & Data Engineer

Posted 2 Days Ago
In-Office
2 Locations
Senior level
In-Office
2 Locations
Senior level
Design and optimize data infrastructure, develop scalable ETL pipelines, manage cloud-native solutions on AWS, and mentor junior engineers.
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Position Summary

We are seeking a Senior Data Engineer to design, build, and optimize scalable data infrastructure that powers business intelligence, analytics, and AI-driven applications. The ideal candidate brings great communication skills, deep expertise in Python, containerization, cloud-native architectures, and modern data warehousing, with a growing interest in AI agents and emerging integration patterns.

What you will do:

Data Infrastructure & Pipeline Development

  • Design and implement robust, scalable ETL/ELT pipelines to ingest, transform, and deliver data across the organization

  • Build and maintain data models optimized for analytical workloads and downstream consumption

  • Develop reusable frameworks and libraries to accelerate data engineering workflows

Cloud & Platform Engineering

  • Architect and manage cloud-native data solutions on AWS, leveraging services such as S3, EC2, ECS, ECR and EventBridge

  • Deploy and orchestrate containerized workloads using Docker and Kubernetes in production environments

  • Implement infrastructure-as-code practices using Terraform, CloudFormation, or similar tools

Data Warehousing

  • Design and optimize data warehouse architectures using Redshift or Snowflake

  • Develop efficient data models, partitioning strategies, and query optimization techniques

  • Manage data lifecycle, governance, and cost optimization within warehouse environments

Emerging Technologies

  • Explore and integrate AI agents and Model Context Protocol (MCP) patterns into data workflows where applicable

  • Collaborate with AI/ML teams to ensure data infrastructure supports model training, inference, and feature engineering needs

  • Stay current with emerging data and AI technologies, evaluating their potential business impact

Collaboration & Leadership

  • Partner with analytics, product, and engineering teams to understand data requirements and deliver solutions

  • Mentor junior engineers and contribute to team best practices, code reviews, and technical documentation

  • Participate in architectural decisions and contribute to the data platform roadmap

What you will need:

Experience

  • 7+ years of professional experience in data engineering or related roles

  • Proven track record building and operating production data pipelines at scale

Technical Skills

  • Python: Advanced proficiency including data libraries (pandas, PySpark, SQLAlchemy), testing frameworks, and packaging

  • Containerization & Orchestration: Strong hands-on experience with Docker and Kubernetes (EKS, GKE, or self-managed clusters)

  • Data Warehousing: Deep expertise with Redshift or Snowflake, including performance tuning, data modeling, and administration including DBT

  • AWS: Extensive experience across the AWS ecosystem, particularly data-related services (S3, Glue, Lambda, IAM, VPC, CloudWatch)

  • SQL: Expert-level SQL skills for complex analytical queries and data transformations

Foundational Skills

  • Experience with workflow orchestration tools (Airflow, Dagster, etc.)

  • Familiarity with version control (Git), CI/CD pipelines, and agile development practices

  • Strong understanding of data governance, security, and compliance principles

Preferred Qualifications:
  • Experience with or exposure to AI agents, LLM integrations, or Model Context Protocol (MCP) implementations

  • Background in real-time streaming architectures (Kafka, Kinesis, Flink)

  • Experience with dbt for transformation layer management

  • Familiarity with data observability and quality tools (Monte Carlo, Great Expectations, dbt tests)

  • Knowledge of additional programming languages (Scala, Java, Go)

  • Experience in professional services, legal tech, or enterprise SaaS environments

Education
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; or equivalent practical experience

  • Relevant certifications a plus (AWS Data Analytics, Snowflake SnowPro, Kubernetes CKA/CKAD)

What you will gain:

At Intapp, you’ll get the opportunity to bring your talents and intellectual curiosity to create better outcomes for our people and our clients. You’ll be part of a growing public company, with a modern work environment that’s connected yet flexible and where your professional growth and well-being are top priorities.  We’ll collaborate and grow together, supporting each other in a positive, open atmosphere that fosters creativity, innovation, and teamwork. 

Here, you will have the opportunity to:

  • Expand Your Skills: Unlock your potential with professional development opportunities supported by a community of experienced professionals. We offer reimbursement for training and continuing education to help you stay ahead in your career.

  • Enjoy Where You Work: Thrive in our modern, open offices designed to inspire creativity and collaboration. Our complimentary lunches and fully stocked kitchens ensure you have everything you need to stay energized throughout the day.

  • Support What Matters Most: Our comprehensive wellness and flexible time off programs and our benefits are designed to care for you and your family.  Our family-formation benefits and support during your family-building journey ensure you have the resources you need when it matters most. We believe in giving back and supporting our communities with paid volunteer time off and a donation matching program for the causes you care about. 

Join us and be a part of a collaborative and welcoming culture where your contributions are valued, and your professional growth is a priority. Together, we are building a company of long-term value that we can all be proud of.

#Li-MT2

 

Intapp provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws.

Please note: Intapp will not hire through text message, social media, or email alone. We will never extend a job offer unless you have been contacted directly by an Intapp recruiter and have participated in the interview process which will generally consist of 3 or more virtual or in person meetings. Please note that Intapp only uses company email addresses, which contain “@intapp.com” or “@dealcloud.com” to communicate with candidates via email. Intapp will never ask for financial information of any kind or for any payment during the job application process. We post all legitimate job openings on the Intapp Career Site at https://www.intapp.com/working-at-intapp/. If you believe you were a victim of such a scam, you may contact your local authorities. Intapp is not responsible for any claims, losses, damages, or expenses resulting from scammers.

Top Skills

Airflow
AWS
CloudFormation
Docker
Git
Kubernetes
Python
Redshift
Snowflake
SQL
Terraform

Intapp Charlotte, North Carolina, USA Office

300 S Tryon St, Charlotte, NC, United States, 28202

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