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 proprietary products such as advanced plugins, AI-driven capabilities, and enhanced dashboard experiences. DVK Analytics works with enterprises across sectors including Retail, Renewable Energy, Healthcare, and E-commerce to modernize analytics, improve decision-making, and increase operational efficiency. By building scalable data models, designing high-impact dashboards, and integrating AI for natural-language insights, the team enables clients to move beyond traditional BI. DVK Analytics is an ideal environment for data professionals who want to shape modern analytics solutions on the Sisense platform.
Role Description The Data Architect role at DVK Analytics is a full-time, remote position responsible for designing and maintaining robust data architectures that support advanced analytics solutions on Sisense. Day-to-day tasks include defining data models and data flows, creating scalable data warehousing structures, and overseeing ETL processes to ensure data is accurate, consistent, and accessible for reporting and dashboards. The Data Architect collaborates with BI consultants, developers, and business stakeholders to translate business requirements into optimized data structures and governance practices. The role also involves reviewing and improving data quality, implementing data standards and security controls, and supporting performance tuning for analytics workloads. Additionally, the Data Architect contributes to solution design documentation, provides guidance on best practices, and helps integrate AI-driven and self-service analytics capabilities into client environments.
Qualifications
Candidates should possess strong skills in Data Architecture and Data Modeling to design scalable, analytics-ready data structures.
Candidates should possess solid experience in Extract Transform Load (ETL) processes and Data Warehousing to build reliable, high-performance data pipelines and repositories.
Candidates should possess knowledge of Data Governance to define standards, policies, and controls for data quality, security, and compliance.
Candidates should possess proficiency with modern BI and analytics platforms (preferably Sisense) and SQL-based data technologies.
Candidates should possess experience with cloud data ecosystems (e.g., AWS, Azure, or GCP) and relational or columnar databases.
Candidates should possess strong analytical and problem-solving abilities, along with effective communication skills for working with technical and non-technical stakeholders.
Candidates should possess the ability to work independently in a remote environment, manage multiple projects, and meet delivery timelines.
A bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent practical experience, is beneficial; prior experience as a Data Architect or Data Engineer in analytics-focused environments is highly valued.

Work arrangement
Yes