Job details

Sr. Data Architect

Cloaked is a privacy startup dedicated to rebuilding consumer trust in how personal data is used. Our vision is to create an internet that serves the needs of its users, first and foremost—with individual privacy and opt-in at the core. Our product is a virtual “cloak” that you use as you visit any website — Facebook, Amazon, etc. It lets you choose to share all, some, or none of your private information based on your personal preference.

$150,000 - $180,000 a year

About Cloaked

Cloaked is creating the first ever consumer based privacy eco-system that offers complete data ownership, without sacrificing user experience.

Cloaked gives you the ability to auto-generate an identity with a single click from our best in class password management solution. Users can generate masked emails, phone numbers, passwords, and soon credit cards.

We are seeking a highly experienced and motivated Senior Data Architect / Software Engineer to join our fast-growing privacy SaaS company. In this role, you will be a key leader in designing, building, maturing, and managing the data systems that power our platform for both direct consumers and corporate clients. You will be responsible for leading our data strategy, ensuring our data models and repositories are scalable and robust, and building the pipelines that enable secure and efficient data processing, management, and analytics.

What will you do?

-Design and implement a scalable data architecture that supports our diverse product lines, ensuring all data models are robust, efficient, and compliant with global privacy regulations in cooperation with our Compliance Committee.

-Build and maintain data abstraction layers and APIs to provide secure, controlled access to data for internal teams and our platform's features, ensuring data integrity and consistency… in line with our fundamental tenant of “zero knowledge” when it comes to our customer’s personal and personally identifiable information.

-Lead the engineering efforts for data management systems, including data ingestion, encryption, transformation, and storage. Implement solutions for data cleansing, quality assurance, and automated cradle-to-grave data lifecycle management.

-Develop and maintain the data pipelines and infrastructure required to support business intelligence, product analytics, and reporting for internal stakeholders; while working to advance our future vision where each user can choose whether (and how) to share their personal contextual information with online AI service.

-Along with our CEO, CTO, CAIO, CISO, and DPO, champion data privacy principles, ensuring that all data systems and processes are designed and built with security and privacy as fundamental, non-negotiable requirements.

-Mentor junior engineers, conduct code reviews, and drive best practices in data engineering and software development.

What skills and experiences will help you?

-Experience in data engineering, data architecture, or a related field, with significant experience in a SaaS environment.

-Expertise in designing and implementing complex data models and schemas (e.g., NoSQL, relational, data lakes).

-Proficiency with cloud-native data services (e.g., AWS, GCP, Azure) and a strong understanding of big data technologies (e.g., Spark, Kafka).

-Advanced skills in a programming language such as Python, Java, or Scala.

-Background in building and managing ETL/ELT pipelines and data warehouses.

-Proven experience working with sensitive data, preferably in a privacy-focused or regulated industry.

-Experience with real-time data streaming and event-driven architectures.

-Exceptional problem-solving skills and a strong ability to think critically about complex data challenges.

-Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.

What do we like?

-Background in cybersecurity or information security.

-More than entry-level understanding of data privacy laws, regulations and industry standards (e.g., GDPR, CCPA, ISO 27701, ISO 27017/18).

-Experience with data governance tools and platforms.

-Startup or growth-stage experience

-Interest in data and analytics to guide decision-making.

-Care and respect for our customers’ privacy as if it were your own.

What We Offer

Cloaked is a well-funded Series A startup based out of NYC.

Although we are a distributed team, the NYC team operates with a hybrid model. The office building is home to several amenities, including a gourmet cafe, cocktail bar, and a rooftop work area.

We have a fully built out kitchen packed with drinks and snacks. The Cloaked team has diverse interests so we frequently embark on team outings and go out for socials!

Compensation and Benefits

We offer above market rate pay and equity based off of the market's best commercially available data. Your compensation will be a combination of salary, bonus and equity.

Benefits

Cloaked employees have 401K, as well as top of the line Health, Dental, and Vision benefits.

We offer flexible work arrangements and the ability to work remotely as needed. Cloaked provides a home office stipend in addition to a new company laptop (and other tech depending on the role).

Perks

🌴Competitive PTO: We encourage employees to take a minimum # of vacation per quarter. We see PTO as a preventative burnout measure and are committed to changing the industry standard.

🤸Monthly health stipend: Used for any kind of physical, mental or emotional care you’d like to take for yourself, be it a gym membership, a meditation app, or time with a personal trainer.

🥗 Late Night Meals: We understand that sometimes work can get in the way of meal prep. In response to that, we offer employees a monthly meal stipend to be used when they don't have time to get a home cooked meal going!

🧠 Professional Growth: Opportunities for career development and personal growth are provided to all employees who seek to further their knowledge and capabilities through an unlimited professional development fund. Additionally team members are encouraged to regularly attend conferences and industry events.

We are really excited about having you join our mission-driven team and help us build the future of online privacy!

Our values

Make the impossible, possible

Make it possible, quickly

Make it possible, respectfully

Keep consumer privacy paramount

Data Architect Data Engineer Python SQL Spark Kafka AWS GCP NoSQL Data Warehouse ETL ELT Data Lake Streaming Privacy GDPR CCPA Zero-knowledge Security Event-driven

Average salary estimate

$165000 / YEARLY (est.)

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$150000K

$180000K

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