Job Description & Details
Data platforms that blend cloud, CRM, and visualization are reshaping how companies turn raw information into actionable insight. Because businesses are moving massive workloads to AWS while still needing tight Salesforce integration and real‑time Tableau dashboards, experts in this niche are in high demand. This contract role in Alameda offers a chance to lead that transformation and showcase end‑to‑end architecture skills.
Job Summary
The role focuses on designing and implementing enterprise‑grade data solutions on AWS, integrating Salesforce data, and delivering high‑performance Tableau visualizations. You will lead a team of engineers, set architectural standards, and ensure scalable, secure, and real‑time data pipelines across the organization.
Top 3 Critical Skills Table
| Skill | Why it's critical | Mastery Level |
|---|---|---|
| AWS Data Architecture (S3, Glue, Redshift, etc.) | Foundation for scalable, secure cloud data pipelines | Senior |
| Tableau Dashboard Development | Turns complex data into business‑ready visuals | Senior |
| Salesforce Integration (APIs, connectors) | Connects CRM data with the data lake for unified analytics | Senior |
Interview Preparation
- Describe your end‑to‑end design for moving Salesforce data into an AWS data lake.
What the interviewer is looking for: Understanding of API extraction, staging in S3, transformation with Glue or Lambda, and how the data is modeled for downstream analytics. - How do you optimize Redshift performance for large Tableau dashboards?
What the interviewer is looking for: Knowledge of distribution keys, sort keys, materialized views, and query tuning techniques. - Explain a real‑time streaming architecture you built using Kinesis or Kafka on AWS.
What the interviewer is looking for: Ability to design low‑latency pipelines, handle ordering, error handling, and integrate with downstream services like Lambda or EMR. - What CI/CD practices do you enforce for data pipeline deployments?
What the interviewer is looking for: Experience with infrastructure as code (CloudFormation/Terraform), automated testing, version control, and rollout strategies. - Walk through a complex Tableau performance issue you resolved.
What the interviewer is looking for: Skills in data source optimization, extract vs live connections, calculated field efficiency, and dashboard design best practices.
Resume Optimization
- AWS
- Redshift
- Athena
- Glue
- Lambda
- Tableau
- Salesforce
- Data Modeling
- CI/CD
- Real‑time Streaming
Application Strategy
When reaching out to the recruiter, send a concise email that greets the hiring manager, briefly introduces yourself, and attaches your resume. Highlight your top three skills—AWS data architecture, Tableau dashboarding, and Salesforce integration—by mentioning specific projects where you applied them. Emphasize any leadership experience and how your background aligns with the responsibilities listed in the job description.
Career Roadmap
| Current Role | Typical Experience | Core Focus | Next Position |
|---|---|---|---|
| AWS Data Architect | 8‑10 yrs | End‑to‑end cloud data platform design | Lead Data Architect |
| Lead Data Architect | 10‑12 yrs | Team leadership & multi‑cloud strategy | Data Engineering Manager |
| Data Engineering Manager | 12‑15 yrs | Portfolio governance & stakeholder alignment | Director of Data Architecture |