Senior Data Analyst / Data Architect

Full Job Description

Job Title: Senior Data Analyst / Data Architect

Department: Product

Reports to: Data Scientist

About Luna Joy

Luna Joy is a leading provider of mental health services, specializing in supporting women through their mental wellness journey. We offer holistic therapy and medication management to help women overcome challenges like postpartum mental health issues. Our dedicated team of professionals works in a collaborative, flexible, and remote environment, ensuring comprehensive care for our clients. We are rapidly expanding and committed to improving access to quality mental health services across the U.S.

Job Overview

As a Senior Data Analyst & Data Architect, you will play a dual role in leading high-level machine learning initiatives while architecting scalable, secure, and efficient data ecosystems. This is a strategic role ideal for a hands-on leader who is equally comfortable with modeling, analytics, cloud engineering, and stakeholder collaboration.We are specifically looking for someone trained in the U.S. or with strong U.S. enterprise experience, and who understands how to build data systems that support global operations.As part of the Luna Joy team, you will play an essential role in directly contributing to supporting the mental health journey of one million women with purpose-driven innovation, unwavering compassion, and transformative care. You will need speed to adapt quickly and efficiently, and the drive to be 1% better every day, constantly striving for improvement. Additionally, you will demonstrate compassion and contribute to a positive work environment by giving and getting joy in your daily interactions. These values will enable you to effectively contribute to important areas of focus and responsibility.

Key Responsibilities:

Architect end-to-end data platforms, integrating structured and unstructured data across multiple sources and environments (cloud, on-premise, APIs, etc.)

Lead development and deployment of machine learning models that directly impact business outcomes (predictive analytics, personalization, risk scoring, NLP, etc.)

Collaborate with product, engineering, and business teams to translate strategic objectives into scalable data solutions

Establish data governance, security, and compliance best practices

Optimize data storage, processing, and retrieval using technologies such as Snowflake, Redshift, BigQuery, or similar

Design and implement ETL/ELT pipelines, real-time data streams, and ML pipelines.

Qualifications:

5+ years of experience in data science, machine learning, and data architecture

Deep expertise in Python, SQL, and at least one other language (e.g., R, Scala, or Java)

Strong hands-on experience with data warehousing, cloud platforms (AWS, GCP, or Azure), and orchestration tools (Airflow, Prefect)

Proven experience in deploying ML models in production environments (MLOps, Docker, CI/CD pipelines)

Advanced degree in Computer Science, Data Science, Engineering, or a related field (PhD or MS preferred)

Familiarity with US regulatory frameworks (HIPAA.) and industry standards

Strong communication and leadership skills; ability to engage both technical and non-technical stakeholders

Nice to Haves:

Experience with data products in healthcare, finance, or consumer applications

US work experience or training from a U.S. institution (academic or corporate)

Familiarity with LATAM market data infrastructure challenges and compliance landscape

Experience leading data teams in a high-growth, remote-first environment.

Why Luna Joy?

Mission-Driven Purpose:

Be a part of an organization dedicated to improving access to mental health care, empowering individuals, and creating positive, lasting change in our communities.

Flexibility & Work-Life Balance:

We offer a fully remote work environment that allows you to work from wherever you're most comfortable. Embrace the freedom of remote work while staying connected with a supportive team. This flexibility enables you to create a workspace that fits your needs, allowing you to focus on making a meaningful impact from anywhere.

Collaborative & Inclusive Culture:

Join a community of diverse talent who share your passion for making a difference. We foster a culture of collaboration, growth, and mutual support to help you thrive in your role.

Rewarding Compensation:

We recognize the value of your work with fair pay, bonuses, and opportunities for advancement as we continue to expand our reach and impact in the mental health space.

Compensation & Benefits:

Compensation Range: based on the individual's location, experience, qualifications, and applicable federal and state minimum wage requirements.

Access to educational resources and a supportive community of like-minded professionals.

Interview Process

HR Screen:

The first phase involves an initial screening with HR. During this stage, we will discuss your experience, skills, and alignment with Luna Joy’s values and culture. This step ensures that you meet the basic qualifications and provides an opportunity for you to learn more about the company and the role.

Second Phase with Hiring Manager:

Candidates who pass the HR screen will move on to an interview with the Hiring Manager. In this phase, we dive deeper into your technical abilities, role-specific competencies, and how you approach challenges. The Hiring Manager will assess your fit within the team and your ability to contribute to Luna Joy’s mission.

Offer Stage:

After the second phase, successful candidates will move to the offer stage. We will present a formal offer that includes compensation, benefits, and any additional details about the role. This is also your opportunity to ask any final questions before making your decision.

Onboarding & Training:

Once the offer is accepted, the onboarding process begins. You will be guided through setting up tools, learning about Luna Joy’s systems and workflows, and engaging in any role-specific training. This phase ensures a smooth transition into your new role, setting you up for success from day one.

Inclusion Statement

At Luna Joy, we are committed to fostering a diverse, inclusive, and equitable workplace where all team members feel valued and respected. We believe that diversity of backgrounds, experiences, and perspectives strengthens our ability to support women’s mental health. We encourage individuals from all backgrounds, including those from historically underrepresented groups, to apply and join us in creating a positive impact in our communities. Everyone is welcome at Luna Joy, and we are dedicated to building a work environment where you can thrive and bring your whole self to work.

Job Responsibilities

Key Responsibilities:Architect end-to-end data platforms, integrating structured and unstructured data across multiple sources and environments (cloud, on-premise, APIs, etc.)Lead development and deployment of machine learning models that directly impact business outcomes (predictive analytics, personalization, risk scoring, NLP, etc.)Collaborate with product, engineering, and business teams to translate strategic objectives into scalable data solutionsEstablish data governance, security, and compliance best practicesOptimize data storage, processing, and retrieval using technologies such as Snowflake, Redshift, BigQuery, or similarDesign and implement ETL/ELT pipelines, real-time data streams, and ML pipelines.

Job Requirements

Qualifications:

5+ years of experience in data science, machine learning, and data architecture

Deep expertise in Python, SQL, and at least one other language (e.g., R, Scala, or Java)

Strong hands-on experience with data warehousing, cloud platforms (AWS, GCP, or Azure), and orchestration tools (Airflow, Prefect)

Proven experience in deploying ML models in production environments (MLOps, Docker, CI/CD pipelines)

Advanced degree in Computer Science, Data Science, Engineering, or a related field (PhD or MS preferred)

Familiarity with US regulatory frameworks (HIPAA.) and industry standards

Strong communication and leadership skills; ability to engage both technical and non-technical stakeholders

Skills Required

• Python - Expert
• SQL - Expert
• JavaScript - Intermediate

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