Why Work Here?At Arkatechture, we have a simple shared mission: to build a sustainable organization built upon three pillars: Do something meaningful, With a great team, Earning what you deserve.Founded in 2012, Arkatechture has grown into a nationally recognized data and technology company, partnering with organizations across the fintech, AI, and financial services spaces. We combine deep industry knowledge with technical expertise to help our clients unlock the full potential of their data. Whether it’s modernizing infrastructure, building analytics platforms, or leveraging AI for smarter decision-making, we thrive at the intersection of innovation and impact.Our team is made up of curious, collaborative, and community-minded professionals who are passionate about solving complex problems and staying ahead of what’s next in data and technology. While our roots are in New England, our reach is nationwide, and we support flexible, remote-friendly work to match.We offer a competitive benefits package that includes:A flexible remote work policy with optional access to our Portland, Maine officeA 4-day workweek after 3 years of serviceGenerous paid time off, including 11 holidaysMedical, disability, life insurance, and optional dental/vision401(k) retirement plan with company matchTraining & certification reimbursementMilestone recognition programs, annual PTO increases, and moreAll employees share our core values: put the team first, practice humility, take pride in everything we do, stay curious, care for our community & environment, take work seriously; ourselves not so much.The PositionArkatechture is seeking candidates for an Analytics Engineer to join our Arkalytics Consulting department. As an Analytics Engineer, you’ll work directly with our Arkalytics clients to design and deliver tailored data solutions for their unique use cases alongside our BI & Analytics platform. This role blends the technical and business contexts of analytics, enabling clients to unlock value from their data through well‑modeled, reliable, and scalable datasets and solutions. The ideal candidate for this position is a strong problem solver who can troubleshoot independently, but also a team player who can grow into a subject matter expert within the Arkalytics Consulting team. This is a client-facing role that requires a candidate with strong communication and analytical skills with a high level of attention to detail.You’ll collaborate closely with client stakeholders, as well as our internal product team, to translate requirements into production‑ready data solutions. If you enjoy solving complex data problems and working with clients to help grow and expand their analytics practices and domains, this role is for you!How to ApplyPlease send a cover letter and resume with your application. You must submit both documents to be considered for the position. We’re building a diverse team of people who care about doing meaningful work with great people. If that excites you, apply and let’s start the conversation.About ArkatechtureAt Arkatechture, we love data — we play with it and learn from it every day, and we want you to love your data, too. We are a data consultation and services company specializing in data quality, visualization, and management, as well as customized enterprise-level solutions. We work with companies big and small to help solve their data challenges and reveal how they can leverage their data in brand new ways. Need to collect, clean, or visualize your data? We can help.Skills, Knowledge and ExpertiseRequirements3+ years in analytics engineering, data engineering, BI development, or a similar roleStrong SQL skills and experience building complex, maintainable transformation logicHands-on experience with dbt (core or Cloud) in a production environmentExperience with modern cloud data warehouses (Snowflake, BigQuery, Redshift, etc.)Familiarity with data modeling conceptsExperience working directly with clients or stakeholders to gather requirements and deliver solutionsStrong communication skills and the ability to translate technical concepts into business languageExperience with Git‑based workflows and collaborative development practicesUnderstanding of software engineering best practices (testing, CI/CD, code review)Preferred ExperienceExperience with Banking Data and Subject AreasExperience with Python for data workflows or automationExperience with BI tools (Looker, Tableau, Power BI, Sigma, etc.)Experience in consulting or professional services environmentsKey ResponsibilitiesPartner directly with clients to understand their business needs, data challenges, and desired outcomesDesign, build, and maintain production-grade data models that support client-specific reporting, analytics, and operational workflowsDevelop and maintain dbt models, tests, documentation, and transformation logic as part of broader client solutionsDevelop, review and test code (SQL, Python, BI tool like Tableau and PowerBI)Collaborate with data engineers to ensure upstream data is structured and optimized for downstream useTranslate client requirements into scalable, well-documented semantic layersImplement data quality checks, testing frameworks, and governance standards across client projectsParticipate in client sessions, including solution design conversationsContribute to internal best practices, reusable patterns, and accelerators for future client engagementsReport work status to team leaders and participate actively in daily standupsAdditional responsibilities as assigned
