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Open nowFirst seen 42 hours ago

Big Data Hadoop Architect Hybrid

Dfbooking Recruitment Services134 open roles

Where
Seattle, Washington, United States
Work mode
Hybrid
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Your applicationOpen nowBig Data Hadoop Architect HybridDfbooking Recruitment Services · Seattle, Washington, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Dfbooking Recruitment Services's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: first seen 42 hours ago

The posting

We are hiring a Big Data Hadoop Architect to lead the design and modernization of enterprise-scale data platforms. This role requires a hands-on architect who can balance strategy with execution, drive cloud transformation, and build highly scalable, cost-efficient data ecosystems.

Key Responsibilities (Expanded & Realistic) Define enterprise data architecture roadmap aligned with business goals Architect and implement large-scale Hadoop/Spark-based data platforms Lead migration from on-prem Hadoop clusters to cloud-native architectures Design real-time and batch data pipelines using Kafka, Spark Streaming, Flink, etc. Establish data lake / lakehouse architecture (Delta Lake, Iceberg, Hudi) Drive data modeling standards (dimensional, data vault, normalized models) Build frameworks for data ingestion (ETL/ELT) from structured & unstructured sources Optimize cluster performance, cost, and resource utilization Define and enforce data governance, lineage, cataloging, and quality frameworks Implement security best practices (encryption, IAM, data masking, compliance – HIPAA/GDPR where applicable) Lead capacity planning and scalability strategies for petabyte-scale data Evaluate and introduce modern tools (Databricks, Snowflake, etc.) beyond Hadoop ecosystem Work closely with DevOps teams to implement CI/CD pipelines for data workflows Provide technical leadership, code reviews, and mentoring to engineering teams Collaborate with business stakeholders to translate requirements into technical solutions Drive incident resolution and root cause analysis for production data issues Ensure high availability and disaster recovery strategies are in place Influence tooling, vendor selection, and long-term data platform investments

Required Skills & Experience

10–15+ years of IT experience with minimum 5+ years in Big Data Architecture Strong expertise in: Hadoop Ecosystem (HDFS, YARN, Hive, HBase) Apache Spark (Core, SQL, Streaming) Kafka / Pulsar / Flink Hands-on experience with cloud platforms: AWS (EMR, S3, Glue, Redshift) OR Azure (Data Lake, Synapse, HDInsight) OR GCP (Dataproc, BigQuery) Strong programming skills in Java / Scala / Python Deep understanding of distributed systems, parallel processing, and data partitioning Experience with containerization (Docker, Kubernetes) Expertise in data warehousing and ETL frameworks

Preferred Qualifications Experience with Databricks, Snowflake, or modern lakehouse platforms Exposure to AI/ML pipelines and feature engineering systems Cloud certifications (AWS/Azure/GCP Architect level) Strong leadership and stakeholder management experience

Total Rewards & Benefits (Realistic US Package) Comprehensive Medical, Dental & Vision Insurance 401(k) with employer match (up to 5–6%) Paid Time Off (20–25 days) + Paid Holidays Parental Leave (12–16 weeks) Learning Budget ($2,500/year for certifications & courses) Home Office Setup Allowance ($1,000 one-time) Wellness Programs (Gym reimbursement, mental health support)

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