United States onlyWhy 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 office
- A 4-day workweek after 3 years of service
- Generous paid time off, including 11 holidays
- Medical, disability, life insurance, and optional dental/vision
- 401(k) retirement plan with company match
- Training & certification reimbursement
- Milestone recognition programs, annual PTO increases, and more
All 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 Position
Arkatechture 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 Apply
Please 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.
Key Responsibilities
- Partner directly with clients to understand their business needs, data challenges, and desired outcomes
- Design, build, and maintain production‑grade data models that support client‑specific reporting, analytics, and operational workflows
- Develop and maintain dbt models, tests, documentation, and transformation logic as part of broader client solutions
- Develop, 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 use
- Translate client requirements into scalable, well‑documented semantic layers
- Implement data quality checks, testing frameworks, and governance standards across client projects
- Participate in client sessions, including solution design conversations
- Contribute to internal best practices, reusable patterns, and accelerators for future client engagements
- Report work status to team leaders and participate actively in daily standups
- Additional responsibilities as assigned
Skills, Knowledge and Expertise
Requirements
- 3+ years in analytics engineering, data engineering, BI development, or a similar role
- Strong SQL skills and experience building complex, maintainable transformation logic
- Hands‑on experience with dbt (core or Cloud) in a production environment
- Experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift, etc.)
- Familiarity with data modeling concepts
- Experience working directly with clients or stakeholders to gather requirements and deliver solutions
- Strong communication skills and the ability to translate technical concepts into business language
- Experience with Git‑based workflows and collaborative development practices
- Understanding of software engineering best practices (testing, CI/CD, code review)
Preferred Experience
- Experience with Banking Data and Subject Areas
- Experience with Python for data workflows or automation
- Experience with BI tools (Looker, Tableau, Power BI, Sigma, etc.)
- Experience in consulting or professional services environments
