Data Architect

Company Description DVK Analytics is a certified Sisense reseller and implementation partner that helps organizations transform how they build, use, and scale analytics. The company delivers next-generation Sisense solutions by combining expert BI consulting with in-house products such as advanced plugins, AI-driven capabilities, and enhanced dashboard experiences. DVK Analytics supports enterprises across sectors including Retail, Renewable Energy, Healthcare, and E-commerce, enabling modernized analytics, better decision-making, and improved operational efficiency. By building scalable data models, designing high-impact dashboards, and integrating AI for natural-language insights, the team empowers clients to move beyond traditional BI. DVK Analytics is focused on elevating the analytics experience for organizations already using Sisense or planning to adopt it.
Role Description This is a full-time remote role for a Data Architect at DVK Analytics. The Data Architect will design and maintain scalable data architectures to support Sisense-based analytics solutions, ensuring data is modeled, stored, and accessed efficiently. Responsibilities include defining and implementing data governance standards, designing logical and physical data models, and managing data warehousing structures across multiple domains. The role involves overseeing ETL pipelines, optimizing data flows from diverse source systems, and ensuring data quality, security, and consistency. The Data Architect will collaborate closely with BI consultants, developers, and client stakeholders to translate business requirements into robust technical designs and to continuously improve the analytics infrastructure.
Qualifications
Candidates should possess strong skills in Data Architecture and Data Modeling for analytics and BI solutions.
Candidates should possess hands-on experience with Extract Transform Load (ETL) processes and tools.
Candidates should possess solid expertise in Data Warehousing design, implementation, and optimization.
Candidates should possess knowledge of Data Governance practices, including data quality, security, and compliance.
Experience with Sisense or similar BI/analytics platforms is highly beneficial.
Proficiency in SQL and experience with relational and cloud databases (e.g., PostgreSQL, SQL Server, Snowflake, Redshift) is preferred.
Background in designing data models for dashboards, reporting, and self-service analytics is an advantage.
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent practical experience.
Ability to communicate complex data concepts clearly, collaborate in remote teams, and manage multiple projects in parallel.

Work arrangement
Yes