

Falcon Smart IT
AWS Data Architect with Salesforce and Tableau
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Architect with Salesforce and Tableau integration, offering a contract of unspecified length. Pay rate is competitive. Key skills include AWS Redshift, ETL, data engineering, and Salesforce integration. Requires 10-17 years of experience and a Bachelor's degree.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 11, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Alameda County, CA
-
🧠 - Skills detailed
#Data Engineering #Infrastructure as Code (IaC) #Observability #Datasets #Agile #Code Reviews #Security #Tableau #Terraform #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #Lambda (AWS Lambda) #Data Pipeline #Data Lake #Migration #Data Modeling #Disaster Recovery #Python #S3 (Amazon Simple Storage Service) #Athena #Sales Cloud #Snowflake #AWS (Amazon Web Services) #Data Processing #IAM (Identity and Access Management) #Compliance #Data Architecture #Logging #AWS Glue #RDS (Amazon Relational Database Service) #Leadership #Data Quality #SQL (Structured Query Language) #Kafka (Apache Kafka) #Scala #BI (Business Intelligence) #Scrum #Batch #Visualization #Data Governance #CRM (Customer Relationship Management) #Redshift #DevOps #PySpark #Monitoring #Cloud
Role description
Job Title: AWS Data Architect with Salesforce and Tableau
Location: Alameda CA (Onsite) or Hybrid (3 days/week)
Job Type: FTE or C2H or C2C
Job Description
:(AWS Data+ Medallion architecture +Salesforce Integration
)
Primary skill
1. s:AWS Redshif
1. t ETL with Medallion architectu
1. reBusiness Intelligen
1. ceDomain experience + Commercial operations da
1. taSalesforce Integrati
1. onData Quali
ty
Educational Qualificati
on
• Any Bachelor's Deg
reeExperience Ra
nge10-17 Ye
arsPrimary (Must have skills)
• - To be Screened by TA T
eam1). 10+ years of overall IT experience, with 8+ years in Data Engineering & Analytics, including end-to-end data solution design, architecture, and enterprise data platform implementat
ion2). 6+ years of hands-on experience in AWS data architecture, including Amazon S3, AWS Glue, Redshift, Athena, Lambda, EMR, Lake Formation, Kinesis, and RDS with strong understanding of cloud-native data patterns & SQL development and advanced data model
ing3). 3+ years of experience in integrating Salesforce (Sales Cloud / Service Cloud) with external data platforms using APIs, connectors, and middleware to
ols4). 3+ years of experience in leading data engineering teams as Technical Architect / Lead, providing architecture guidance, code reviews, design standards, and mentoring develop
ers5) 4+ years of hands-on experience with Tableau, including dashboard development, data modeling, performance tuning, and data visualization best practi
ces6). 3+ years of experience in real-time and batch data processing architectures, including streaming frameworks and large-scale data and ingestion and experience in CI
/CDJob Description of Role
• (RNR) - To be Evaluated by Technical Panel (Define it to give more clari
ty)Design and define enterprise-level data architecture across AWS data platforms, ensuring scalability, security, performance, and alignment with business strate
gy.
Architect, develop, and oversee implementation of data lakes/lakehouse solutions using AWS services such as S3, Glue, Redshift, Athena, EMR, Lambda, and Lake Format
ion.
Lead the design and development of robust ETL/ELT pipelines (batch and real-time), ensuring high data quality, reliability, and performance optimiza
tion.
Integrate and synchronize data between Salesforce and AWS data pla
tforms
Define and implement enterprise data models (conceptual, logical, physical), including dimensional modeling (Star/Snowflake schemas) to support analytics and reporting
needs.
Establish BI architecture standards using Tableau, including semantic layer design, dashboard governance, security (row-level security), and performance optim
ization.
Translate complex business requirements into scalable technical architecture and actionable data s
olutions.
Provide hands-on technical leadership in SQL, Python/PySpark, query optimization, and performance tuning for large-scale
datasets.
Define and enforce data governance, security frameworks (IAM, encryption, masking), and compliance standards across the data
ecosystem.
Guide teams in implementing CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), and DevOps best practices for dat
a platforms.
Review solution designs and code to ensure adherence to architectural standards, scalability principles, and be
st practices.
Collaborate with cross-functional teams to gather requirements and deliver scal
able solutions
Drive modernization initiatives including migration from legacy/on-prem systems to AWS clou
d environments.
Ensure monitoring, logging, observability, backup, and disaster recovery strategies are implemen
ted effectively.
Mentor and technically guide data engineers and BI developers, establishing development standards and reu
sable frameworks.
Continuously evaluate emerging technologies, BI trends, and AWS innovations to recommend improvements and optimize enterprise
data capabilities.Soft skills/other skills - To be Evaluated by Hiring Manager (To define how this
will be evaluated)Com
munication Skills:Communicate effectively with internal and cus
tomer stakeholdersCommunication approach: verbal, emails an
d instant messagesInt
erpersonal Skills:Collaborative mindset; comfortable working across delivery, product, a
nd sales functionsAbility to distill complex industry concepts into digestible insights for technical and non-t
echnical audiencesSelf-driven, organized, and adaptive in a fast
-paced environmentProblem-Solving and An
alytical Thinking:Capability to troubleshoot and resolve i
ssues efficiently.
Analytical mindset
Task/ Work UpdatesPrior experience in working on Agile/Scrum projects with exposure
to tools like JiraProvides regular updates, proactive and due diligent to carry ou
t responsibiliti
esExpected OutcomeWe are seeking a highly skilled AWS Data Architect with strong experience in Salesforce and Tableau integration to design, develop, and maintain scalable data pipelines and analytics solutions. The ideal candidate will work closely with business stakeholders, data teams, and CRM teams to ensure seamless data flow, reporting, and in
sights generation.Candidate should go to office everyday or as per cu
stomer expectationSecondary Skills to be planned Post Hiri
ng - Training PlanExperience with real-time streaming tool
s (Kafka, Kinesis)Knowledge of data governance and co
mpliance standardsPrior experience in US-based c
lient-facing roles
Job Title: AWS Data Architect with Salesforce and Tableau
Location: Alameda CA (Onsite) or Hybrid (3 days/week)
Job Type: FTE or C2H or C2C
Job Description
:(AWS Data+ Medallion architecture +Salesforce Integration
)
Primary skill
1. s:AWS Redshif
1. t ETL with Medallion architectu
1. reBusiness Intelligen
1. ceDomain experience + Commercial operations da
1. taSalesforce Integrati
1. onData Quali
ty
Educational Qualificati
on
• Any Bachelor's Deg
reeExperience Ra
nge10-17 Ye
arsPrimary (Must have skills)
• - To be Screened by TA T
eam1). 10+ years of overall IT experience, with 8+ years in Data Engineering & Analytics, including end-to-end data solution design, architecture, and enterprise data platform implementat
ion2). 6+ years of hands-on experience in AWS data architecture, including Amazon S3, AWS Glue, Redshift, Athena, Lambda, EMR, Lake Formation, Kinesis, and RDS with strong understanding of cloud-native data patterns & SQL development and advanced data model
ing3). 3+ years of experience in integrating Salesforce (Sales Cloud / Service Cloud) with external data platforms using APIs, connectors, and middleware to
ols4). 3+ years of experience in leading data engineering teams as Technical Architect / Lead, providing architecture guidance, code reviews, design standards, and mentoring develop
ers5) 4+ years of hands-on experience with Tableau, including dashboard development, data modeling, performance tuning, and data visualization best practi
ces6). 3+ years of experience in real-time and batch data processing architectures, including streaming frameworks and large-scale data and ingestion and experience in CI
/CDJob Description of Role
• (RNR) - To be Evaluated by Technical Panel (Define it to give more clari
ty)Design and define enterprise-level data architecture across AWS data platforms, ensuring scalability, security, performance, and alignment with business strate
gy.
Architect, develop, and oversee implementation of data lakes/lakehouse solutions using AWS services such as S3, Glue, Redshift, Athena, EMR, Lambda, and Lake Format
ion.
Lead the design and development of robust ETL/ELT pipelines (batch and real-time), ensuring high data quality, reliability, and performance optimiza
tion.
Integrate and synchronize data between Salesforce and AWS data pla
tforms
Define and implement enterprise data models (conceptual, logical, physical), including dimensional modeling (Star/Snowflake schemas) to support analytics and reporting
needs.
Establish BI architecture standards using Tableau, including semantic layer design, dashboard governance, security (row-level security), and performance optim
ization.
Translate complex business requirements into scalable technical architecture and actionable data s
olutions.
Provide hands-on technical leadership in SQL, Python/PySpark, query optimization, and performance tuning for large-scale
datasets.
Define and enforce data governance, security frameworks (IAM, encryption, masking), and compliance standards across the data
ecosystem.
Guide teams in implementing CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), and DevOps best practices for dat
a platforms.
Review solution designs and code to ensure adherence to architectural standards, scalability principles, and be
st practices.
Collaborate with cross-functional teams to gather requirements and deliver scal
able solutions
Drive modernization initiatives including migration from legacy/on-prem systems to AWS clou
d environments.
Ensure monitoring, logging, observability, backup, and disaster recovery strategies are implemen
ted effectively.
Mentor and technically guide data engineers and BI developers, establishing development standards and reu
sable frameworks.
Continuously evaluate emerging technologies, BI trends, and AWS innovations to recommend improvements and optimize enterprise
data capabilities.Soft skills/other skills - To be Evaluated by Hiring Manager (To define how this
will be evaluated)Com
munication Skills:Communicate effectively with internal and cus
tomer stakeholdersCommunication approach: verbal, emails an
d instant messagesInt
erpersonal Skills:Collaborative mindset; comfortable working across delivery, product, a
nd sales functionsAbility to distill complex industry concepts into digestible insights for technical and non-t
echnical audiencesSelf-driven, organized, and adaptive in a fast
-paced environmentProblem-Solving and An
alytical Thinking:Capability to troubleshoot and resolve i
ssues efficiently.
Analytical mindset
Task/ Work UpdatesPrior experience in working on Agile/Scrum projects with exposure
to tools like JiraProvides regular updates, proactive and due diligent to carry ou
t responsibiliti
esExpected OutcomeWe are seeking a highly skilled AWS Data Architect with strong experience in Salesforce and Tableau integration to design, develop, and maintain scalable data pipelines and analytics solutions. The ideal candidate will work closely with business stakeholders, data teams, and CRM teams to ensure seamless data flow, reporting, and in
sights generation.Candidate should go to office everyday or as per cu
stomer expectationSecondary Skills to be planned Post Hiri
ng - Training PlanExperience with real-time streaming tool
s (Kafka, Kinesis)Knowledge of data governance and co
mpliance standardsPrior experience in US-based c
lient-facing roles






