About careerzynith
careerzynith is a forward-thinking, innovation-driven organization that partners with enterprises across healthcare, retail, pharmacy, and consumer services to unlock the true potential of their data. As a recognized leader in digital transformation, careerzynith specializes in building enterprise-grade data ecosystems that connect business strategy with advanced analytics, artificial intelligence, and cloud-native infrastructure. With a global footprint and a deep commitment to employee growth, careerzynith fosters a culture where curiosity, technical mastery, and cross-functional collaboration are not only encouraged but celebrated. Our teams operate at the intersection of business intelligence, data engineering, and architectural design, helping our clients turn complex data into actionable insight. At careerzynith, you will not simply build pipelines or models — you will shape the future of how organizations understand, govern, and leverage information at scale.
Position Overview
careerzynith is actively seeking a highly skilled and visionary Experienced Enterprise Data Architect to lead the design, development, and continuous evolution of our enterprise data ecosystem. This is a unique opportunity for a seasoned data professional to architect large-scale, cloud-based analytics solutions while influencing strategic decisions across business, engineering, and executive leadership. If you are passionate about building high-quality data pipelines, defining architectural standards, and driving data-driven innovation, this role is built for you.
Key Responsibilities
- Develop and continuously refine enterprise-wide data artifacts, including conceptual, logical, and physical data models, data flow diagrams, data dictionaries, and technical metadata repositories.
- Deeply understand enterprise information needs and translate business requirements into scalable, future-ready data architecture blueprints.
- Maintain and evolve the Enterprise Data Model, ensuring alignment with business objectives, regulatory standards, and analytical priorities.
- Analyze and harmonize data models across multiple business units, ensuring consistency, reusability, and adherence to governance frameworks.
- Define, document, and maintain the Data Technology Architecture, including storage, processing, and consumption layers across hybrid and cloud environments.
- Architect and govern the Data Integration Architecture, enabling seamless ingestion from diverse sources, including APIs, third-party platforms, transactional systems, and streaming pipelines.
- Design and oversee the Data Warehouse and Business Intelligence (BI) Architecture to deliver trusted, performant, and self-service analytics capabilities.
- Establish and enforce enterprise taxonomies, naming conventions, and namespaces that promote data discoverability and semantic clarity.
- Build and maintain the Meta-data Architecture, ensuring full lineage, traceability, and transparency across the data estate.
- Conceptualize the overarching data architectural framework for large, complex analytical workloads spanning the entire enterprise.
- Translate business, application, information, reporting, and analytical requirements into architectural solutions that meet performance, scalability, and cost-efficiency goals.
- Continuously monitor emerging trends, tools, and best practices in the data and analytics market, evaluating their potential to enhance internal systems, infrastructure, and capabilities.
- Design and implement technical standards for deployed data systems, ensuring long-term maintainability, reliability, and operational excellence.
- Plan and lead large-scale architectural enhancements, serving as the technical project manager for cross-functional initiatives.
- Collaborate closely with Data Engineers, analysts, and business stakeholders to optimize data models, refine ELT/ETL processes, and drive an end-to-end data integration strategy.
- Participate in defining the Future State data architecture vision, including standards, guidelines, and guiding principles for the organization.
- Optimize query performance and ELT/ETL pipelines, enhancing batch jobs to support near real-time data processing where required.
- Build high-quality, production-grade data pipelines that power advanced analytic solutions and decision-support systems.
- Drive architectural decisions for the data platform, influencing tooling selection, technology adoption, and development standards.
Essential Qualifications
- Bachelor’s Degree in Computer Science, Information Technology, Engineering, or a related discipline, with a minimum of four years of experience in data/analytics architecture, engineering design, configuration, or a closely related field.
- Alternatively, a High School Diploma or GED combined with at least seven years of relevant professional experience in data/analytics architecture or engineering.
- At least one year of experience in domain-specific architecture, such as healthcare, retail, finance, or supply chain analytics.
- Hands-on experience designing and implementing cloud-based data solutions, preferably on platforms such as AWS, Azure, or Google Cloud.
- Working knowledge of DevOps principles, CI/CD pipelines, and infrastructure-as-code practices as they apply to data platforms.
- At least two years of experience contributing to financial decisions within the workplace, including budgeting, cost modeling, or technology investment planning.
- At least two years of direct management, indirect leadership, or cross-functional team coordination experience.
- Willingness to travel up to 10% of the time for business purposes, including domestic and occasional international engagements.
Preferred Qualifications
- Bachelor’s Degree (or higher) in Computer Science, Mathematics, Information Technology, Data Science, or a related quantitative discipline.
- Experience with modern data stack tools such as Snowflake, Databricks, BigQuery, Redshift, dbt, Airflow, Spark, or Kafka.
- Familiarity with data governance, master data management (MDM), and data quality frameworks.
- Exposure to machine learning pipelines, real-time streaming architectures, or graph data models.
- Professional certifications such as AWS Certified Data Analytics, Google Professional Data Engineer, Azure Data Engineer Associate, or TOGAF.
Skills and Competencies for Success
- Strong analytical and problem-solving skills with the ability to architect solutions for complex, large-scale data challenges.
- Exceptional communication and storytelling abilities, capable of translating technical concepts into business value for non-technical stakeholders.
- Deep understanding of data modeling techniques, including dimensional, normalized, and data vault methodologies.
- Proficiency in SQL, Python, and at least one modern data transformation or orchestration framework.
- Strong leadership presence with a collaborative mindset and a passion for mentoring junior engineers and analysts.
- Ability to balance strategic thinking with hands-on technical execution in a fast-paced, evolving environment.
Career Growth and Learning Opportunities at careerzynith
At careerzynith, we believe that our people are our greatest competitive advantage. From your very first day, you will be immersed in a culture of continuous learning, innovation, and leadership development. We invest heavily in professional development through sponsored certifications, conference attendance, internal mentorship programs, and dedicated learning budgets for every employee. Whether you aspire to grow into a Chief Data Officer, specialize deeply as a Distinguished Engineer, or pivot into product leadership, careerzynith provides the pathways, the resources, and the sponsorship to make it happen. You will have the opportunity to work alongside some of the brightest minds in the industry, contributing to architecture decisions that shape the future of data-driven enterprises.
Work Environment and Company Culture
careerzynith operates a flexible, hybrid-friendly work model that empowers our team members to do their best work wherever they thrive. Our culture is built on the principles of transparency, ownership, inclusivity, and impact. We celebrate diverse perspectives and believe that the best ideas come from teams with different backgrounds, experiences, and points of view. From quarterly innovation hackathons to monthly knowledge-sharing sessions, careerzynith is a place where curiosity is rewarded and collaboration is the default. We are proud to maintain an environment where every voice is heard, every contribution is valued, and every team member feels a genuine sense of belonging.
Compensation, Perks, and Benefits
careerzynith offers a highly competitive compensation package designed to attract and retain top-tier talent. The estimated hourly range for this role is $30–$50/hour, commensurate with experience, skills, and geographic location. In addition, full-time team members enjoy a comprehensive benefits package that includes:
- Company-paid life insurance for peace of mind
- Comprehensive medical, prescription drug, dental, and vision coverage
- Retirement Savings Plan with employer-matched 401(k) contributions
- Employee Stock Purchase Plan to share in our long-term success
- Generous Paid Time Off (PTO) and paid holidays
- Paid Parental Leave (PPL) to support growing families
- Transportation Benefit Plan for commuting flexibility
- Employee Store Discount program
- Voluntary life and personal accident insurance options
- Wellness reimbursement, mental health resources, and continuous learning stipends
Equal Opportunity Employer
careerzynith is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by applicable law.
Join careerzynith and Shape the Future of Enterprise Data
If you are a strategic thinker, a hands-on architect, and a passionate data professional looking to make a meaningful impact at scale, careerzynith wants to hear from you. This is more than a job — it is a chance to define the data future of an organization that is transforming how industries operate. Bring your expertise, your ambition, and your vision to careerzynith, and help us build the data foundation for the next generation of innovation. Apply today and take the next step in your data architecture career with careerzynith.
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