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About careerzynith – Pioneering the Future of Data‑Driven Commerce
careerzynith is a global leader in e‑commerce and cloud‑enabled services, delivering innovative solutions that connect millions of customers with the products they love. With a relentless focus on customer obsession, technology excellence, and operational efficiency, careerzynith has built a reputation for transforming data into actionable insights that drive business growth. As a remote‑first organization, careerzynith empowers talent across the United States to work from anywhere, fostering a culture of flexibility, inclusion, and continuous learning.
Role Overview – Senior Data Architect (Remote – Massachusetts)
We are seeking a highly skilled Senior Data Architect to join the Operations Technology Solutions (OTS) Data Team. In this role, you will design, develop, and govern enterprise‑scale data solutions that enable seamless data flow across internal and external sources. You will act as a bridge between business strategy and technical execution, translating complex requirements into robust, secure, and scalable architectures that power analytics, reporting, and machine‑learning initiatives.
Key Responsibilities
- Architectural Leadership: Lead the design of end‑to‑end data solutions, including data models, integration pipelines, security frameworks, and governance policies, ensuring alignment with business objectives.
- Technical Advisory: Provide expert guidance on data infrastructure, cloud platforms, and emerging technologies to development teams and project managers.
- Stakeholder Collaboration: Conduct discovery workshops with senior business stakeholders to capture requirements, challenges, and opportunities, then translate them into technical specifications.
- Solution Presentation: Articulate architectural proposals to technical forums, create clear documentation, and communicate design rationale to both technical and non‑technical audiences.
- Implementation Support: Partner with internal and external development teams to oversee solution delivery, troubleshoot issues, and ensure adherence to best practices.
- Quality Assurance: Monitor solution performance, enforce compliance with architectural standards, and drive continuous improvement through feedback loops.
- Documentation & Cataloguing: Develop comprehensive solution design documents, data dictionaries, and metadata catalogs that describe data assets and their business value.
- Technology Vigilance: Stay current on industry trends, emerging data platforms, and best‑in‑class tools to recommend innovative enhancements.
- Strategic Road‑Mapping: Identify opportunities for process automation, cost optimization, and scalability improvements across the data ecosystem.
- Risk Management: Design and enforce data security, privacy, and compliance controls, including encryption, access management, and audit logging.
Day‑to‑Day at careerzynith
As a remote member of the OTS Data Team, your typical day might include:
- Morning stand‑up with cross‑functional teams to review progress on data pipeline deployments.
- Design session with product owners to refine data‑mesh concepts for a new marketplace feature.
- Hands‑on review of ETL job performance metrics, followed by optimization recommendations.
- Collaboration with security engineers to validate encryption standards for sensitive customer data.
- Documentation of architecture decisions in Confluence, ensuring knowledge sharing across distributed teams.
- Evening knowledge‑share webinar where you present a case study on data‑lakehouse migration.
Essential Qualifications
- Bachelor’s degree in Data Science, Computer Science, Software Engineering, or a related discipline.
- Minimum 3 years of hands‑on experience designing and implementing production‑grade data architectures at scale.
- Deep understanding of data modeling techniques (dimensional, data vault, entity‑relationship) and their practical application.
- Proficiency with ETL/ELT tools such as Informatica, SSIS, Talend, or DataStage, and a strong grasp of best practices for pipeline development.
- Extensive knowledge of modern data paradigms: Data Mesh, Data Lake, Data Lakehouse, Data Warehouse, streaming, and virtualization.
- Solid experience with data governance frameworks, master data management (MDM), and regulatory compliance (e.g., GDPR, CCPA).
- Advanced SQL skills with a proven ability to craft complex queries that meet diverse business needs.
- Familiarity with data visualization platforms like Tableau, Power BI, or Looker to enable self‑service analytics.
- Demonstrated expertise in securing data assets through encryption, access controls, network security, and audit mechanisms.
- Track record of deploying data solutions on cloud platforms (AWS, Azure, GCP) and managing big‑data ecosystems (Hadoop, Spark, Snowflake).
- Strong analytical mindset, decision‑making capabilities, and the ability to thrive in multidisciplinary, distributed environments.
Preferred Qualifications
- Advanced degree (MS, MA, or MBA) in a quantitative or technical field.
- Relevant professional certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Snowflake SnowPro).
- Experience leading architecture initiatives for large‑scale, customer‑facing applications.
- Proven ability to mentor junior engineers and foster a culture of technical excellence.
- Exceptional problem‑solving skills and a passion for innovative design.
Core Skills & Competencies
- Strategic Thinking: Ability to align data solutions with long‑term business goals.
- Communication: Clear articulation of complex technical concepts to diverse audiences.
- Collaboration: Comfortable working with product, engineering, security, and operations teams across time zones.
- Adaptability: Agile mindset, ready to pivot as priorities evolve.
- Leadership: Influence without authority, championing best practices and standards.
Why careerzynith? – Benefits, Culture, and Growth
careerzynith offers a comprehensive benefits package designed to support your health, wealth, and well‑being, whether you work from a home office or a co‑working space.
- Competitive Compensation: $30 per hour, with performance‑based bonuses and annual salary reviews.
- Health & Wellness: Medical, dental, and vision coverage; mental‑health resources; wellness stipends.
- Family Support: Maternity and parental leave, adoption assistance, and flexible PTO.
- Retirement Planning: 401(k) with company match and financial counseling.
- Learning & Development: Access to online training platforms, certification reimbursement, and internal tech talks.
- Remote‑First Flexibility: Choose your work hours, set your own schedule, and enjoy a work‑life balance that fits your lifestyle.
- Inclusive Culture: careerzynith is an equal‑opportunity employer that celebrates diversity and fosters an environment where every voice is heard.
- Career Pathways: Clear progression from senior architect to principal architect, data‑strategy lead, or technology‑focused leadership roles.
- Global Impact: Your work will power data‑driven experiences for millions of customers worldwide.
Professional Development at careerzynith
We invest heavily in your growth. As a Senior Data Architect, you will have access to:
- Mentorship programs pairing you with senior leaders in data engineering and analytics.
- Quarterly innovation sprints where you can prototype emerging technologies.
- Cross‑functional project rotations to broaden your expertise beyond data architecture.
- Conference sponsorships to attend industry events such as Strata Data Conference, AWS re:Invent, and Data Governance Summit.
Work Environment & Culture
careerzynith’s remote workforce is built on trust, autonomy, and collaboration. Our virtual offices are equipped with state‑of‑the‑art communication tools, shared digital workspaces, and regular virtual coffee chats to keep teams connected. We celebrate achievements through virtual town halls, peer‑recognition programs, and inclusive social events that bridge geographic distances.
Application Process
If you are a data‑driven visionary who thrives in a fast‑paced, remote environment, we want to hear from you. To apply, click the link below, submit your resume, and tell us how your experience aligns with the responsibilities and qualifications outlined above. Our recruiting team will review your application promptly and reach out to schedule a virtual interview.
Ready to Join careerzynith?
Take the next step in your career and become part of a company that values innovation, diversity, and the power of data to transform lives. Apply today and help shape the future of global commerce.
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