Senior Technical Delivery Lead - Data Engineering
McKinsey & Company, Atlanta, GA, United States
Overview
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem‑solver who is energized by challenges? You've come to the right place.
Your Impact
Serve as the Senior Technical Delivery lead for client deployments.
Own implementation design, client‑specific data and configuration choices, deployment reliability, and day‑to‑day technical problem solving across Source AI rollouts.
Lead end‑to‑end technical delivery for Source AI client deployments across modules, translating client context and business requirements into implementation choices, including data ingestion and mapping, business rules, workflow configuration, dashboard setup, and deployment approach.
Own solution architecture for deployments, including data flows, integration patterns, testing strategy, reliability, and risk controls.
Partner directly with clients, teams, and internal product teams to resolve data quality, workflow, integration, and performance issues during implementation.
Review technical work produced by internal engineers and external workers; provide coaching, code/configuration review, and escalation support for blockers.
Your Qualifications and Skills
10+ years' experience in software implementation or project management.
Strong hands‑on data engineering background, including Snowflake, SQL (ANSI / Snowflake dialect), Python, APIs, data pipelines, testing, and debugging.
Experience designing and maintaining end‑to‑end data pipelines using Snowflake and cloud storage such as Amazon S3.
Expertise with core Snowflake capabilities such as Warehouses, Snowpipe, Streams, Tasks, and Secure Views.
Experience configuring and deploying analytics, data, or AI‑enabled products in client environments, ideally with complex data and workflow requirements.
Ability to define scalable implementation patterns across clients while balancing customization with reuse.
Strong problem‑solving across data quality, integration, workflow, and operational reliability issues; strong client communication skills with both technical and non‑technical stakeholders.
Working knowledge of solution architecture, SDLC, secure and reliable deployment practices, and quality assurance.
Experience with CI/CD for data platforms (for example GitHub Actions), performance optimization, and migration from legacy environments to modern cloud data platforms is preferred.
Experience with semi‑structured data formats such as JSON, Avro, and Parquet, and with secure integration to BI tools and downstream applications.
Knowledge of data governance and compliance requirements, including PII handling, GDPR, HIPAA, and data quality controls such as validation and anomaly detection; familiarity with procurement, sourcing, spend analytics, or operations domain is a plus.
Ability to lead and mentor engineers and external workers in fast‑paced delivery settings.
Your Growth
Continuous learning:
Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development.
A voice that matters:
From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, while upholding our commitment to ethics and integrity.
Global community:
With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us deliver the best solutions for our clients.
World‑class benefits:
In addition to a competitive salary based on location, experience, and skills, we provide a comprehensive benefits package to enable holistic well‑being for you and your family.
Equal Opportunity
For U.S. applicants: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
For non‑U.S. applicants: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
#J-18808-Ljbffr
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem‑solver who is energized by challenges? You've come to the right place.
Your Impact
Serve as the Senior Technical Delivery lead for client deployments.
Own implementation design, client‑specific data and configuration choices, deployment reliability, and day‑to‑day technical problem solving across Source AI rollouts.
Lead end‑to‑end technical delivery for Source AI client deployments across modules, translating client context and business requirements into implementation choices, including data ingestion and mapping, business rules, workflow configuration, dashboard setup, and deployment approach.
Own solution architecture for deployments, including data flows, integration patterns, testing strategy, reliability, and risk controls.
Partner directly with clients, teams, and internal product teams to resolve data quality, workflow, integration, and performance issues during implementation.
Review technical work produced by internal engineers and external workers; provide coaching, code/configuration review, and escalation support for blockers.
Your Qualifications and Skills
10+ years' experience in software implementation or project management.
Strong hands‑on data engineering background, including Snowflake, SQL (ANSI / Snowflake dialect), Python, APIs, data pipelines, testing, and debugging.
Experience designing and maintaining end‑to‑end data pipelines using Snowflake and cloud storage such as Amazon S3.
Expertise with core Snowflake capabilities such as Warehouses, Snowpipe, Streams, Tasks, and Secure Views.
Experience configuring and deploying analytics, data, or AI‑enabled products in client environments, ideally with complex data and workflow requirements.
Ability to define scalable implementation patterns across clients while balancing customization with reuse.
Strong problem‑solving across data quality, integration, workflow, and operational reliability issues; strong client communication skills with both technical and non‑technical stakeholders.
Working knowledge of solution architecture, SDLC, secure and reliable deployment practices, and quality assurance.
Experience with CI/CD for data platforms (for example GitHub Actions), performance optimization, and migration from legacy environments to modern cloud data platforms is preferred.
Experience with semi‑structured data formats such as JSON, Avro, and Parquet, and with secure integration to BI tools and downstream applications.
Knowledge of data governance and compliance requirements, including PII handling, GDPR, HIPAA, and data quality controls such as validation and anomaly detection; familiarity with procurement, sourcing, spend analytics, or operations domain is a plus.
Ability to lead and mentor engineers and external workers in fast‑paced delivery settings.
Your Growth
Continuous learning:
Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development.
A voice that matters:
From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, while upholding our commitment to ethics and integrity.
Global community:
With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us deliver the best solutions for our clients.
World‑class benefits:
In addition to a competitive salary based on location, experience, and skills, we provide a comprehensive benefits package to enable holistic well‑being for you and your family.
Equal Opportunity
For U.S. applicants: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
For non‑U.S. applicants: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
#J-18808-Ljbffr