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Dec 21, 2022

Big Data Solutions Architect

Full-Time

Remote, US

AZ, CA, CO, DE, FL, MD, MN, NC, NV, NY, TX, VA, WA, WI

California, United States

Irvine Office

Remote, US

NY

Remote, US

CA

Remote, Japan

n/a

TensorIoT is an AWS Advanced Consulting Partner and is currently seeking a high-performing, detail-oriented, and results-driven Big Data Solutions Architect to join our growing team! This role would engineer, build, deploy, and maintain robust big data solutions and platforms for business needs.

As a Big Data Solutions Architect, you will:

Responsible for gathering, maintaining, planning, developing and implementing data solutions and tools to support business units across our organization

Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity

Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization

Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it

Documents work and processes and apply best-in-class data governance policies

Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues

Works closely with a team of frontend developers, product and business managers, analysts, and PMO

Designs data integrations and data quality framework

Designs and evaluates open source and vendor tools for data lineage

Works closely with all business units to develop strategy for long term data platform architecture

Manage from start to finish a portfolio of data integration and BI projects, working as the liaison between the business, IT, Digital Transformation teams and third party providers

Design rich data visualizations to communicate complex ideas to leaders

Lead integration of external vendor data, evaluate new solutions, and set process standards

Provides key support for vendor management

Lead the planning and execution of assigned projects

We're looking for someone who has:

BS or MS degree in Computer Science or a related technical field

Project management and leadership skills are essential

2+ years of Python development experience

2+ years of SQL experience

2+ years of experience with schema design and dimensional data modeling

2+ years of experience with machine learning

Ability in managing and communicating data warehouse plans to internal clients

Experience designing, building, and maintaining data processing systems

Strong analytical and logical skills, curiosity, organization, attention to details, and discipline are crucial for this position.

Ability to perform technical deep-dives into code, networking, systems and storage configuration

Hands-on experience developing cloud data infrastructure

Proficient in Python, SQL, and popular cloud platforms (Microsoft Azure, AWS, or Google - GCP)

Technical hands-on skills in machine learning (regression, classification, clustering, dimensionality reduction), deep learning (CNN, RNN/LSTM), time series data, optimization, anomaly detection, statistical algorithms, and data engineering

Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.

Good applied statistics skills, such as distributions, statistical testing, regression, etc.

Bonus points for someone with:

Experience with big data technologies such as Hadoop, R, and Java / MapReduce a plus

Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, DynamoDB a plus

SAP BI HANA knowledge and QlikSense reporting is a plus

Working knowledge of relational databases

Familiar with microservices architecture

Good knowledge of Restful API development, know how to design and develop Restful API

Git code management practices (GitHub)

Experience in writing unit tests to ensure code quality

Current understanding of best practices regarding system security measures

Experience in data engineering and design architecture

Demonstrated experience with agile development methods. Agile at scale is a plus.

A drive to learn and master new technologies and techniques.

Experience in agricultural/meat/animal industries is a plus.

As a salaried position with the company, you may be required to travel at some point to other facilities, to attend Company events, or as a representative of the Company in other situations. Unless otherwise specified in this posting, the amount of travel may vary and the most qualified candidate must be willing and able to travel as business needs dictate.

n/a

What we offer:

Competitive salary based on experience

Flexible work hours and the ability to work from home

Health insurance

Annual physical exam

What we offer:

Competitive salary based on experience

Medical, dental, vision, and life insurance

401k plan with matching

Unlimited PTO

Flexible work hours and the ability to work from home

About TensorIoT

TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.

TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google, and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day to day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!


TensorIoT is proud to be an equal opportunity employer. This means that we are committed to diversity and inclusion, and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind, and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

Interested?

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