Annapurna | Analytics Architect

Annapurna

Edinburgh

1 year ago

Applications closed

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Head of Digital & Data Strategy — Hybrid (2 days onsite)

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.

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