Analytics Architect
As an Analytics Architect, you will play a key leadership role in the
Analytics Engineering team by designing and implementing cutting-edge analytics
solutions. You will spearhead the creation of high-value data products, leveraging your
expertise to develop scalable, robust solutions. Your leadership will drive the team
forward by mentoring team members on best practices, fostering innovation, and
ensuring the delivery of high-quality, scalable analytics systems. This role requires a
proactive, detail-oriented problem solver with exceptional communication skills and a
passion for transforming data into actionable insights.
How will you spend your time
- Design and implement scalable data pipelines and models, ensuring data quality,
integrity, and accessibility.
- Lead the design, development, and optimization of data workflows to meet
complex analytics needs.
- Collaborate closely with product managers, stakeholders, architects, and
engineers to understand requirements and deliver tailored solutions.
- Address complex data challenges using optimal patterns, frameworks, and query
techniques.
- Apply data modelling techniques such as Kimball or Data Vault to design high-
quality, maintainable data models.
- Optimize data pipelines, frameworks, and systems for improved efficiency and
streamlined development of data products.
- Stay up-to-date with the latest trends in data engineering, analytics, SQL,
Python, Snowflake, and DevOps, integrating these into architectural designs.
- Mentor team members through design reviews, code reviews, and other
engineering practices, ensuring adherence to best practices and quality
standards.
- Provide technical leadership within an agile framework, promoting a culture of
continuous improvement and innovation.
- Enhance data governance, security, and compliance across analytics solutions.
- Serve as a subject matter expert in data and analytics engineering, advising
stakeholders on technical strategies and solutions.
You will be successful if you have
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related
field.
- 8+ years of experience in designing, building, and maintaining scalable data
pipelines and workflows.
- Advanced proficiency in Python and SQL, with strong problem-solving and data
manipulation skills.
- Expertise in data modelling techniques such as Kimball or Data Vault.
- Expertise in DevOps practices and tools for automating deployment, monitoring,
and management of data pipelines.
- Proficiency in dbt and cloud-based data warehouses like Snowflake.
- Strong leadership skills with a proven ability to inspire and mentor engineers in
an agile environment.
- Excellent communication and collaboration skills for cross-functional teamwork.
- Detail-oriented with a commitment to delivering high-quality work in a dynamic
environment.
You will thrive if you are
- A self-motivated, results-driven individual with a passion for data and analytics
engineering, SQL, Python development, Snowflake.
- Capable of taking initiative and thriving in a dynamic, fast-paced environment.
- Detail-oriented and committed to delivering high-quality work.
- A natural problem solver who thrives on tackling challenges.
- A strong team player with excellent interpersonal skills.
