Big Data Architect
Company: AiDash AiDash Inc.
Location: Palo Alto
Posted on: October 20, 2024
Job Description:
About AiDashAiDash is making critical infrastructure industries
climate-resilient and sustainable with satellites and AI. Using our
full-stack SaaS solutions, customers in electric, gas, water
utilities, transportation, and construction are transforming asset
inspection and maintenance - and complying with biodiversity net
gain mandates and carbon capture goals. Our customers deliver ROI
in their first year of deployment with reduced costs, improved
reliability, and achieved sustainability goals. Learn more at .We
are a Series C climate tech startup backed by leading investors
(including National Grid Partners, G2 Venture Partners, Lightrock,
BGV, Marubeni, among others), and by our customers-turned-advocates
(Duke Energy & National Grid Partners, among others)! We have been
recognized by Forbes two years in a row as one of "America's Best
Startup Employers". We are also proud to be one of the few climate
software companies in Time Magazine's "America's Top GreenTech
Companies2024".Join us in creating a greener, cleaner, and safer
planet from space!The Role:The Platform Team at AiDash is
responsible for building and managing the data pipelines that
ingest, clean, and transform vast amounts of satellite imagery and
enterprise data. As a Big Data Architect, you will play a critical
role in enhancing and scaling these pipelines and our data
infrastructure. Leveraging your technical expertise, leadership,
and strategic mindset, you will directly shape company-wide data
strategies and drive impactful outcomes. This role involves close
collaboration with the Data Science and Engineering teams to tackle
complex business challenges through innovative data solutions.How
you'll make an impact:
- Ensure efficient ingestion, storage, and processing of
geospatial data, including satellite imagery, LiDAR, weather data,
and enterprise datasets.
- Manage massive imagery, 3D, and vector data using big data
platforms.
- Lead organization-wide initiatives to streamline data storage
and transformation.
- Identify and implement tools to host and catalog satellite and
sensor data.
- Implement data quality control, validation, and standardization
processes to maintain dataset integrity.
- Collaborate with data scientists and stakeholders to align data
systems with business needs and enable data-driven decisions.
- Provide technical leadership, evolve system architecture, and
propose new technologies to keep the tech stack scalable and
reliable.Minimum Qualifications:
- Minimum of 12 years of overall professional experience,
including at least 8 years in data engineering, with a proven track
record of designing, building, and operating large-scale data
systems.
- Experience in building and maintaining modern data pipelines in
cloud or hybrid environments.
- Deep understanding of data modeling, data warehousing
solutions, and data architecture strategies for both transactional
and analytical systems.
- Strong experience with big data technologies (e.g., Hadoop,
Spark), database systems (e.g., SQL, NoSQL), geospatial toolkits,
and ETL tools.
- Expertise in at least one programming language, such as Scala,
Java, or Python.
- Experience with cloud services (AWS, Azure, Google Cloud), and
a solid understanding of the data pipeline tools and services
available on these platforms.
- Exceptional problem-solving, analytical, communication, and
teamwork skills.
- Leadership experience with the ability to collaborate
effectively across teams to achieve company objectives.
- Bachelor's or Master's degree in Computer Science, Engineering,
Mathematics, or a related field.Preferred Qualifications:
- Expertise in building data platforms that host petabytes of
imagery data.
- Strong experience with modern data cataloging and warehousing
technologies (e.g., Iceberg, Spark, Athena, Sedona).
- Experience in building platforms for storing and processing
large volumes of geospatial data - including satellite and LiDAR
images.What you'll love:
- Comprehensive Medical, Dental, and Vision Coverage: 100%
coverage for employees and 80% for their spouses and children.
- Health Reimbursement Account (HRA): 100% funded by AiDash to
cover medical deductibles.
- 401(k) Plan: Begin contributing after three months of
employment to prepare for your future. Currently, no company match
is offered.
- Parental Leave: Supportive parental leave with 16 weeks for
primary caregivers and 4 weeks for secondary caregivers.
- Generous Vacation Policy: Accrue 20 vacation days per year,
plus enjoy your Birthday off!Position Location: This position is
available in Palo Alto, CA. We operate as a hybrid company, with
twice a week in-office days in our Palo Alto, CA office location.We
are proud to be an equal-opportunity employer. We are committed to
embracing diversity and inclusion in our hiring practices, and we
promote a work environment where everyone, from any race, color,
religion, sex, sexual orientation, gender identity, or national
origin, can do their best work.We offer a competitive base pay
range for this full-time position, which is between $180,000 and
$250,000 per year. This range reflects the anticipated base salary
for new hires. We strive to ensure our compensation packages are
equitable and aligned with industry standards. Your recruiter can
share more about compensation during the hiring process.We are
committed to providing an inclusive and accessible interview
experience for all candidates. Please let us know if you require
any accommodation during the interview process, and we will make
every effort to meet your needs.
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Keywords: AiDash AiDash Inc., Palo Alto , Big Data Architect, Other , Palo Alto, California
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