Incedo Inc. is a high-growth Digital, Data, and AI Transformation Specialist firm headquartered in New Jersey. We are a long-term strategy execution partner for Fortune 500 enterprises, operating at the intersection of business and technology. We serve clients across 5 key industries - Banking & Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences.
Incedo delivers ROI from AI @ Scale by leveraging the ‘Power of 3’:
- Deep domain expertise: Deep understanding of industries with an ability to identify and solve specific business problems.
- AI & Data: Integration of Data and AI capabilities with business priorities to deliver impact and ROI
- Engineering & Operations: Excellence for building digital platforms, driving modernization, integration and tech operations.
Core principles that define the DNA of Incedo are:
- Business outcome focus: Drive measurable business outcomes by developing a client-first view prioritized against quantifiable business KPI-driven programs.
- Business and technology intersection: Bring together deep domain, AI, data, and engineering capabilities.
- Build for the long-term: Enable sustained growth by building long-term client relationships with Fortune 500 companies and senior client stakeholders.
- Integrated platform and services: Provide a comprehensive offering of payables IncedoPay platform and Incedo Lighthouse™ solving specific business problems.
- Cross-functional ‘one’ team: Align multidisciplinary teams including domain, design, data, engineering, and business operations to work towards a collective goal.
With a team of 4,500+ professionals, we have offices across the U.S., Mexico, Canada, and India.
Role
We’re looking for a hands‑on TPM who lives and breathes AWS data engineering and modern AI. You’ll architect, design, and deliver cutting‑edge data + AI solutions while guiding a sharp team of engineers. If Glue jobs, PySpark magic, serverless wizardry, Python scripts and AI/ML operationalization excite you—you’ll feel right at home.
What You’ll Own & Lead:
- Set the standards, patterns, and roadmaps that shape our data future.
- Hands‑on Engineering
- Build high‑performance ETL/ELT pipelines using AWS Glue, Python, and PySpark.
- Craft serverless data services with Lambda, API Gateway & Step Functions.
- Tune Athena, optimize S3 layouts, and lead complex data migrations like a pro.
- AI/ML Enablement
- Bring AI into real products: RAG pipelines, embeddings, inference endpoints, and more.
- Partner with Data Scientists & ML Engineers to operationalize models with MLOps best practices.
- Quality, Security & Reliability
- Champion testing, data quality, observability, and lineage.
- Enforce security‑by‑design with IAM, KMS, VPC endpoints, masking, and tokenization.
- Mentor engineers, lead sprints, and elevate the team’s technical bar.
- Work closely with Product, Security, and Architecture to turn ideas into reality.
What we are looking for
- 13+ years in data engineering/backend engineering, including 4+ years leading technical teams and driving architecture decisions.
- Deep, hands‑on expertise across AWS Data services & AI:
- AWS Glue (Jobs, Crawlers, PySpark), Lambda (Python), Athena, S3, Glue Data Catalog § Python for data engineering (PySpark) and service development
- ETL/ELT design patterns, orchestration (Step Functions / Airflow), and dimensional + Lakehouse modeling § Data migration strategies, validation frameworks, and rollback planning
- Data lake architecture: Parquet, partitioning, with familiarity in Iceberg
- IaC with Terraform / AWS CDK and CI/CD pipelines (CodePipeline, GitHub Actions, Azure DevOps)
- Hands‑on experience with modern AI technologies and emerging AI tooling