"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\u2011time 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\u2011to\u2011end architecture skills.\n\n# Job Summary\nThe role focuses on designing and implementing enterprise\u2011grade data solutions on AWS, integrating Salesforce data, and delivering high\u2011performance Tableau visualizations. You will lead a team of engineers, set architectural standards, and ensure scalable, secure, and real\u2011time data pipelines across the organization.\n\n# Top 3 Critical Skills Table\n| Skill | Why it's critical | Mastery Level |\n|---|---|---|\n| AWS Data Architecture (S3, Glue, Redshift, etc.) | Foundation for scalable, secure cloud data pipelines | Senior |\n| Tableau Dashboard Development | Turns complex data into business\u2011ready visuals | Senior |\n| Salesforce Integration (APIs, connectors) | Connects CRM data with the data lake for unified analytics | Senior |\n\n# Interview Preparation\n1. **Describe your end\u2011to\u2011end design for moving Salesforce data into an AWS data lake.**\n *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.\n2. **How do you optimize Redshift performance for large Tableau dashboards?**\n *What the interviewer is looking for*: Knowledge of distribution keys, sort keys, materialized views, and query tuning techniques.\n3. **Explain a real\u2011time streaming architecture you built using Kinesis or Kafka on AWS.**\n *What the interviewer is looking for*: Ability to design low\u2011latency pipelines, handle ordering, error handling, and integrate with downstream services like Lambda or EMR.\n4. **What CI/CD practices do you enforce for data pipeline deployments?**\n *What the interviewer is looking for*: Experience with infrastructure as code (CloudFormation/Terraform), automated testing, version control, and rollout strategies.\n5. **Walk through a complex Tableau performance issue you resolved.**\n *What the interviewer is looking for*: Skills in data source optimization, extract vs live connections, calculated field efficiency, and dashboard design best practices.\n\n# Resume Optimization\n- AWS\n- Redshift\n- Athena\n- Glue\n- Lambda\n- Tableau\n- Salesforce\n- Data Modeling\n- CI/CD\n- Real\u2011time Streaming\n\n# Application Strategy\nWhen 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\u2014AWS data architecture, Tableau dashboarding, and Salesforce integration\u2014by mentioning specific projects where you applied them. Emphasize any leadership experience and how your background aligns with the responsibilities listed in the job description.\n\n# Career Roadmap\n| Current Role | Typical Experience | Core Focus | Next Position |\n|---|---|---|---|\n| AWS Data Architect | 8\u201110 yrs | End\u2011to\u2011end cloud data platform design | Lead Data Architect |\n| Lead Data Architect | 10\u201112 yrs | Team leadership & multi\u2011cloud strategy | Data Engineering Manager |\n| Data Engineering Manager | 12\u201115 yrs | Portfolio governance & stakeholder alignment | Director of Data Architecture |\n"