Your Title: Sr. Cloud Data Software Architect

Job Location: Remote | United States

Our Department: Construction

Are you interested in Identifying and delivering disruptive cutting edge technologies?

Summary:

We are looking for a Senior Cloud Data Software Architect with a strong dedication to recent and upcoming technologies, and a proven track record in modern methodologies. This position is at the center of Data and Analytics initiatives. We are building a modern data platform to support enterprise data needs. We're looking for someone highly skilled, motivated, collaborative, and ready for a challenge.

What You Will Do:

As Architect of Data Engineering, you will play a key role in architecting data engineering solutions and technology to uncover deep insights from data using big data technologies and advanced statistical analysis, processing very large data sets using cloud-based data pipelines(real-time and batch) on Microsoft Azure, variety of analytic tools, visualizations and delivering actionable insights & solutions. You will also be assisting with integrating the SQL data warehouse platform as our primary processing platform to create the curated enterprise data model for the company to leverage.

• Architects, develops, and implements Data Engineering strategy to support organizational initiatives.

• Produce robust architecture and detailed designs for developing systems using Kafka, Snowflake, Apache Spark and Delta Lake on Microsoft Azure.

• Collaborate with Data Engineering, Product, Infrastructure Operations and vendors

• Ensuring data quality throughout all stages of acquisition and processing, including data collection, ground truth generation, normalization and transformation

• Extracting and combining data from various heterogeneous data sources

• Designing, implementing and supporting a platform that can provide ad-hoc access to large datasets

• Modeling data and metadata to support machine learning and AI

• Build statistical models, apply machine learning techniques, analyze very large data sets and construct metrics using these modeling techniques.

• Guiding critical business decisions by highlighting opportunities, identifying correlations, defining experiments and figuring out cause and effect relationships.

• Provide leadership to engineering teams.

• Participate in project meetings, providing input to project plans and providing status updates.

• Coach and mentor development team members on standards and best practices

• B.S. or higher in Computer Science, Computer Engineering, or equivalent work experience

• 5+ years experience near real time streaming technologies and Big Data Analytics

• 3+ years experience in Azure DevOps, Terraform, or GitHub

• Experience with Big Data Technologies (NoSQL databases, Kafka and/or Confluent Kafka & Connectors, MongoDB, Spark, Databricks, and Geo Sharding)

• Experience with real-time data processing and API platforms

• Demonstrated ability in data modeling, ETL development, API developments and data warehousing

• Experience designing, implementing, and integrating Secure RESTful APIs

• Experience with industry monitoring and alerting tools and methodologies

• Experience across the full application lifecycle from concept through retirement

• Deep knowledge with Linux/UNIX or Windows, .NET stack (.NET Core, Docker, Kafka); Go, and Scala

• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

• Experience in Kubernetes AKS Cloud Environments

• Strong understanding of Agile methodologies

• Strong analytical and problem solving skills

• Possess excellent interpersonal, written, and verbal communication skills and be comfortable working with multiple stakeholders to understand and explain highly technical information in a clearly/concisely

• Self-motivated and proactive

About Trimble

Trimble is transforming the way the world works by delivering products and services that connect the physical and digital worlds. Our core technologies in spatial positioning, modeling, connectivity and data analytics enable customers to improve productivity, quality, safety, and sustainability in design, architecture, and construction.

#Engineer #Architect #Data