Local candidate - Role: Data Solutions Architect | San Francisco, CA | Onsite

Role: Data Solutions Architect

Duration: 12 Months Contract- Onsite

Location: San Francisco, California

Looking for Local Consultants on W2

Responsibilities

Design, implement, and deploy data platforms at scale in both public and private clouds

Guide clients in establishing their data strategy, including data governance, data architecture, and data quality management

Educate clients on modern technologies, architectures, and approaches for data & analytics

Drive discovery phases, understand business problems, and propose technical solutions to address them

Define development processes, platforms, and tools usage for data acquisition, storage, transformation, and analysis

Develop roadmaps and implementation strategies around data & analytics initiatives

Review and audit existing solutions, designs, and system architecture

Create architecture documentation & presentations

Communicate proposed solutions to multiple levels of stakeholders, from C-level to engineering teams

Requirements

Extensive experience working in Solution Architecture with a background in data & analytics (10 years)

Hands-on designing, developing & maintaining enterprise-scale data platforms

Strong understanding of big data technologies and frameworks such as Databricks, Snowflake, Apache Spark, Kafka, AWS Glue, AWS EMR, AWS Redshift, Google Cloud Platform Dataflow, Google Cloud Platform BigQuery, Azure Data Factory and Azure Synapse

Highly skilled with big data solutions developed in large cloud computing infrastructures such as Amazon Web Services, Azure Cloud, or Google Cloud

Proven history working with client-driven large-scale implementation projects

Background in programming and scripting languages such as Java, Python, or Scala

Knowledge of Data Science and Analytics (Machine Learning, Recommendation Engines, Search Personalization, Deep Learning)

Deep understanding of Agile (Scrum) and common SDLC practices

Expert in data platform design, development, and maintenance

Comfortable with technology consulting, technical team leading, and team management

Exposure to design patterns, refactoring concepts, unit tests, and CI/CD

Practical expertise in performance tuning, optimization, and bottleneck analysis

Nayak,

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