Delivery Lead

Job Title - Delivery Lead

Location - Jersey City (3-4 days per week)

Salary - Up to 155k

Responsibilities:

Oversee and drive the delivery of end-to-end projects focused on analytical

applications and Generative AI solutions.

Provide technical leadership and mentorship to data engineering teams, guiding

them on complex challenges and best practices.

Collaborate with business and technical stakeholders to gather requirements,

design solutions, and manage project deliverables.

Utilize Generative AI frameworks like OpenAI, Hugging Face, or Google Vertex AI to

design, deploy, and integrate cutting-edge AI/ML solutions.

Manage cross-functional collaboration with Business Data Analysts (BDAs),

ensuring alignment between data engineering and business goals.

Take ownership of release planning, change management, and stakeholder

engagement to ensure project success.

Ensure adherence to Agile practices, facilitating sprint planning, retrospectives, and

delivery timelines.

Technical Expertise:

Framework and Foundational Services: Expertise in building modular, scalable,

and reusable frameworks for data integration, data quality validation, and pipeline

orchestration.

Generative AI Integration: Hands-on experience with LLM (Large Language

Models), Agentic AI, and integration with APIs from platforms like OpenAI, Hugging

Face, and AWS AI services.

Data Engineering: Strong background in Snowflake, SQL, DBT, and PySpark, with

advanced knowledge of query optimization, CDC (Change Data Capture), and data

transformation.

Cloud Platforms: Extensive experience with AWS (Glue, EMR, S3, Lambda,

Redshift), Azure Data Factory, and cloud-native architectures.

Application Development: Expertise in developing event-driven and microservices

based architectures using Java, Python, and modern frameworks.

CI/CD & Automation: Proficient in building CI/CD pipelines with tools like Jenkins,

GitLab, and Terraform for infrastructure-as-code automation.

Big Data & Analytics: Proven experience in managing Big Data platforms and

implementing solutions for large-scale data ingestion, storage, and processing.

Security & Compliance: Implementation of security best practices, including

OWASP guidelines, RBAC, and vulnerability detection/remediation.

Must Have:

Proven experience in building scalable data engineering frameworks and

foundational services to support enterprise-wide analytics initiatives.

Hands-on expertise in Snowflake, Spark, and AWS Glue, with knowledge of event

driven architectures and streaming data solutions.

Strong leadership experience in managing teams and delivering complex projects in

Agile environments.

Proficiency in integrating Generative AI solutions into existing platforms and

workflows.

Excellent communication and stakeholder management skills to collaborate across

diverse teams.

The posted range is the hiring range for this role a subset of the broader range available to employees over time and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.