Technical Consultant

YO AI Labs; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

YO AI Labs in New York, NY seeks a Technical Consultant with 10+ years in AI, data engineering, or data architecture to lead end-to-end client engagements and guide modern data platforms on AWS and Databricks.

The role involves partnering with engineering and business teams to establish architectural standards, drive opportunities, and ensure scalable, secure, cost-efficient solutions with strong governance and observability.

Qualifications

• 10+ years of experience in AI, software development, data engineering, or data architecture.
• 5+ years of Life Sciences consulting experience.
• Experience modernizing AI products with governance and context layers.
• Strong experience with Databricks, DBT Core/Cloud, Python, Spark, SQL.
• Experience leading architecture across multi-team delivery models.
• Executive presence to engage at VP/Director level.
• Ability to translate analytical needs into scalable data models and pipelines.
• Experience designing dashboards and analytics on relational/non-relational databases.
• Knowledge of CI/CD, DevOps, and cost optimization frameworks.
• Experience with cloud migration and modern data platform design.

Responsibilities

• Drive senior client workshops and solution framing.
• Lead end-to-end client advisory, opportunity creation, and demand generation.
• Ensure architecture aligns with business requirements and governance standards.
• Support RFP/RFI responses and architectural evaluations.
• Architect end-to-end solutions on AWS and Databricks.
• Define patterns and best practices for scalable data platforms.
• Review and guide solution designs for scalability, performance, and security.
• Translate business requirements into scalable data models and ETL pipelines.
• Demonstrate strong data quality, lineage, and governance practices.

Skills

AI

Data engineering

Cloud architecture

Client management

Executive presence

Workshops

Problem framing

Technical leadership

Data governance

Solution design

Tools

Databricks

DBT Core/Cloud

Python

Spark

SQL

AWS

Redshift

Glue

EMR

Kinesis

Job description

Role Name : Technical Consultant, Pharma (Business Translator)

Location : New York, USA

Experience:10 -15 Years

Role Overview:The Technical Consultantrole is responsible for end-to-end client management, program management, business growth, and client success by ensuring solutions are scalable, secure, cost-efficient, and aligned with modern data engineering, analytics, and AI/ML best practices. The consultant will partner with engineering teams, data product owners, and business stakeholders to establish architectural standards, design cloud-native data platforms, and guide technical execution across complex programs.

Roles and Responsibilities

• Drive senior client workshops, problem framing, and solution framing
• Lead end-to-end client advisory, opportunity creation, and demand generation
• Engage with business and technical teams to align architecture with business requirements
• Support RFP and RFI responses and architectural evaluations
• Experience with Life Sciences datasets, migration, and modernization
• Understanding of operational layers L1, L2, and L3, along with ontology and context layers
• Define and enforce data modeling, metadata, lineage, and quality standards
• Implement CI/CD pipelines and monitoring frameworks
• Ensure architectures support observability, reliability, and operational excellence
• Architect end-to-end solutions on AWS and Databricks
• Define architectural standards, patterns, and best practices
• Review and guide solution designs for scalability, performance, and security
• Evaluate technology options and recommend long-term architectural strategies
• Translate business and analytical requirements into scalable data models
• Assess current-state data architectures and define future-state models
• Design scalable data models for analytical and operational workloads
• Demonstrate strong understanding of metadata, lineage, data quality, and governance frameworks
• Be familiar with distributed compute paradigms and cloud-native modeling patterns

Required Qualifications

• At least10+ years of experience in AI, software development, data engineering, or data architecture along with
• 5+ years of Life Sciences consulting experience
• Experience driving modernization initiatives for AI products with AI foundations, governance, operational layers, and context layers
• Strong experience with Databricks, DBT Core or Cloud, Python, Spark, SQL, distributed compute paradigms including in-memory, distributed, and MPP architectures, and Data Vault 2.0 including automate_dvDeep knowledge of AWS services including S3, Glue, Redshift, EMR, DynamoDB, Lambda, Athena, and Kinesis
• Experience leading architecture across multi-team onsite and offshore delivery models
• Executive presence to lead VP and Executive Director-level meetings and steering committees independently
• Ability to drive thought leadership, technical visioning, workshops, and client success initiatives
• Life Sciences experience preferred
• Ability to translate complex analytical requirements into scalable architectures including data models, ETL pipelines, and consumption layers
• Experience designing and deploying dashboards and self-service analytics on relational and non-relational databases
• Strong understanding of CI/CD, DevOps, static code analysis, and test-driven development
• Experience with cloud migration patterns and modern data platform design
• Experience defining data standards, metadata models, lineage, quality rules, and governance patterns
• Experience implementing logging, monitoring, observability, and cost optimization frameworks
• Experience driving enterprise data platform adoption and modern data practices