Tech Lead – Backend Data & AI (Digital & Marketing IT)
I.T. Solutions, Inc., Alameda, CA, United States
Tech Lead – Backend Data & AI (Digital & Marketing IT)
Location:
Alameda, CA Onsite / Hybrid
Long-Term Rolling Contract
Role Summary
We are seeking an experienced
Tech Lead – Backend Data & AI
with
8+ years of hands‑on data engineering experience
and a proven ability to
lead architecture, execution, and technical direction
for enterprise‑scale marketing and customer data platforms. This role will act as a
technical authority and thought leader , guiding backend data and AI solutions that power customer engagement, marketing activation, analytics, and AI‑driven insights.
The ideal candidate combines
deep technical expertise
in AWS, DBT, Python, and modern data architectures with
strong leadership, communication, and decision‑making skills . You will partner closely with product owners, marketing stakeholders, architects, and offshore delivery teams to deliver scalable, secure, and business‑ready data solutions.
Key Responsibilities Technical Leadership & Architecture
Serve as
Tech Lead and design authority
for backend data and AI solutions supporting Digital and Marketing platforms.
Define and evolve
modern data architecture standards , including
Data Mesh, Medallion Architecture, Data Lake, and Lakehouse patterns .
Lead architecture and design reviews, ensuring solutions are scalable, secure, cost‑effective, and aligned with enterprise standards.
Translate business and marketing needs into
clear technical designs, data models, and implementation patterns .
Lead the design, development, and optimization of
ETL/ELT pipelines
using
AWS Glue, S3, Redshift, DynamoDB, external tables, AppFlow, FiveTran, and Airflow .
Architect and implement
customer data unification
across CRM, marketing automation platforms, and third‑party data providers.
Own and optimize
analytics‑ready data warehouses
and semantic layers on
Amazon Redshift .
Define and maintain
enterprise‑grade data models , ER diagrams, and transformation logic to support downstream analytics and activation.
Own
DBT standards and best practices , including models, snapshots, tests, macros, and Jinja‑based SQL templating.
Provide
expert‑level SQL guidance , including complex joins, window functions, and performance tuning.
Develop and review
reusable Python frameworks and components
for ingestion, transformation, orchestration, and automation.
AI & Advanced Analytics Enablement
Enable backend data structures and pipelines required for
AI/ML and GenAI use cases , including feature‑ready datasets and model inputs.
Partner with product analysts and analytics teams to support
segmentation, personalization, predictive analytics, and attribution models .
Support data foundations for
multi‑touch attribution, ROI measurement, and AI‑driven marketing insights .
Support the building and management of BI dashboards in partnership with offshore BI Engineers.
Delivery Oversight & Team Enablement
Provide
technical leadership and mentorship
to onshore and offshore engineers; perform design and code reviews.
Guide teams on
CI/CD best practices , version control (Git), and automated testing for data pipelines.
Act as a key escalation point for
complex data issues, performance challenges, and production incidents .
Collaborate with product managers, architects, compliance, and business stakeholders to ensure successful delivery.
Data Quality, Governance & Compliance
Establish and enforce
data quality, validation, and observability standards
across data products.
Ensure data solutions meet
governance, privacy, and compliance requirements , particularly for marketing and customer data.
Drive consistency in
business definitions, metrics, and golden data assets .
Marketing Data Enablement Focus
Build and optimize data flows that support
campaign targeting, segmentation, and personalization
across
email, paid media, and social channels .
Implement marketing‑specific data enrichment and validation logic (e.g.,
opt‑in status, best email logic, engagement scoring ).
Enable analytics and dashboards for
campaign performance, attribution, and customer journey insights .
Required Qualifications
8+ years of experience in
data engineering , with at least
2–3 years in a technical leadership or lead engineer role .
Deep expertise in
AWS data services
(Glue, S3, Redshift, DynamoDB, Airflow).
Advanced proficiency in
SQL ,
DBT , and
Python .
Strong experience designing and operating
cloud‑native data platforms
at scale.
Proven ability to
communicate complex technical concepts
to both technical and non‑technical stakeholders.
Nice to Have
Experience in the
Life Sciences or Healthcare
domain.
Strong familiarity with
marketing data ecosystems
(email, media, social, web) and key
Marketing KPIs .
Experience with
Fivetran
or similar managed ingestion tools.
Knowledge of
marketing compliance and privacy regulations
(GDPR, HIPAA for HCP data, CAN‑SPAM).
Experience with
CRM platforms
such as
Salesforce or Veeva .
Exposure to
GenAI, LLMs, and AI‑driven personalization frameworks .
The salary range provided for this contract role represents our good faith estimate for this position. Within the range, individual offers will vary based on the selected candidate's experience, industry knowledge, technical and communication skills, location and other factors that may prove relevant during the interview process (W2 or C2C). In addition to compensation, the company provides eligible W2 employees with a comprehensive and highly competitive benefits package.
I.T. Solutions, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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Alameda, CA Onsite / Hybrid
Long-Term Rolling Contract
Role Summary
We are seeking an experienced
Tech Lead – Backend Data & AI
with
8+ years of hands‑on data engineering experience
and a proven ability to
lead architecture, execution, and technical direction
for enterprise‑scale marketing and customer data platforms. This role will act as a
technical authority and thought leader , guiding backend data and AI solutions that power customer engagement, marketing activation, analytics, and AI‑driven insights.
The ideal candidate combines
deep technical expertise
in AWS, DBT, Python, and modern data architectures with
strong leadership, communication, and decision‑making skills . You will partner closely with product owners, marketing stakeholders, architects, and offshore delivery teams to deliver scalable, secure, and business‑ready data solutions.
Key Responsibilities Technical Leadership & Architecture
Serve as
Tech Lead and design authority
for backend data and AI solutions supporting Digital and Marketing platforms.
Define and evolve
modern data architecture standards , including
Data Mesh, Medallion Architecture, Data Lake, and Lakehouse patterns .
Lead architecture and design reviews, ensuring solutions are scalable, secure, cost‑effective, and aligned with enterprise standards.
Translate business and marketing needs into
clear technical designs, data models, and implementation patterns .
Lead the design, development, and optimization of
ETL/ELT pipelines
using
AWS Glue, S3, Redshift, DynamoDB, external tables, AppFlow, FiveTran, and Airflow .
Architect and implement
customer data unification
across CRM, marketing automation platforms, and third‑party data providers.
Own and optimize
analytics‑ready data warehouses
and semantic layers on
Amazon Redshift .
Define and maintain
enterprise‑grade data models , ER diagrams, and transformation logic to support downstream analytics and activation.
Own
DBT standards and best practices , including models, snapshots, tests, macros, and Jinja‑based SQL templating.
Provide
expert‑level SQL guidance , including complex joins, window functions, and performance tuning.
Develop and review
reusable Python frameworks and components
for ingestion, transformation, orchestration, and automation.
AI & Advanced Analytics Enablement
Enable backend data structures and pipelines required for
AI/ML and GenAI use cases , including feature‑ready datasets and model inputs.
Partner with product analysts and analytics teams to support
segmentation, personalization, predictive analytics, and attribution models .
Support data foundations for
multi‑touch attribution, ROI measurement, and AI‑driven marketing insights .
Support the building and management of BI dashboards in partnership with offshore BI Engineers.
Delivery Oversight & Team Enablement
Provide
technical leadership and mentorship
to onshore and offshore engineers; perform design and code reviews.
Guide teams on
CI/CD best practices , version control (Git), and automated testing for data pipelines.
Act as a key escalation point for
complex data issues, performance challenges, and production incidents .
Collaborate with product managers, architects, compliance, and business stakeholders to ensure successful delivery.
Data Quality, Governance & Compliance
Establish and enforce
data quality, validation, and observability standards
across data products.
Ensure data solutions meet
governance, privacy, and compliance requirements , particularly for marketing and customer data.
Drive consistency in
business definitions, metrics, and golden data assets .
Marketing Data Enablement Focus
Build and optimize data flows that support
campaign targeting, segmentation, and personalization
across
email, paid media, and social channels .
Implement marketing‑specific data enrichment and validation logic (e.g.,
opt‑in status, best email logic, engagement scoring ).
Enable analytics and dashboards for
campaign performance, attribution, and customer journey insights .
Required Qualifications
8+ years of experience in
data engineering , with at least
2–3 years in a technical leadership or lead engineer role .
Deep expertise in
AWS data services
(Glue, S3, Redshift, DynamoDB, Airflow).
Advanced proficiency in
SQL ,
DBT , and
Python .
Strong experience designing and operating
cloud‑native data platforms
at scale.
Proven ability to
communicate complex technical concepts
to both technical and non‑technical stakeholders.
Nice to Have
Experience in the
Life Sciences or Healthcare
domain.
Strong familiarity with
marketing data ecosystems
(email, media, social, web) and key
Marketing KPIs .
Experience with
Fivetran
or similar managed ingestion tools.
Knowledge of
marketing compliance and privacy regulations
(GDPR, HIPAA for HCP data, CAN‑SPAM).
Experience with
CRM platforms
such as
Salesforce or Veeva .
Exposure to
GenAI, LLMs, and AI‑driven personalization frameworks .
The salary range provided for this contract role represents our good faith estimate for this position. Within the range, individual offers will vary based on the selected candidate's experience, industry knowledge, technical and communication skills, location and other factors that may prove relevant during the interview process (W2 or C2C). In addition to compensation, the company provides eligible W2 employees with a comprehensive and highly competitive benefits package.
I.T. Solutions, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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