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Sr Data Engineer (Azure & Databricks)
Distillery —United States
- Remote
- SQL
- Senior level
- Flexible schedule
- Life insurance
6d

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Sr Data Engineer (Azure & Databricks)

Distillery -
United States

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Job Details

6 days ago

Benefits

Flexible schedule
Life insurance

Qualifications

Data model design
Azure SQL Database
Commercial use (data warehousing systems)
Databricks
Data compliance
Data visualization software proficiency
Data lake
Requirements specification
Requirements design
Data validation techniques
Business intelligence report generation
CCPA
Public Cloud
Schema design
Data governance
SQL
GDPR compliance expertise
Azure Synapse Analytics
Technical solutions implementation
Data Architecture Design (Architecture design skills)
Business intelligence tools
Requirements analysis
Access control management
Data analytics tools
Data visualization projects
Dimensional modeling

Full Job Description

About Distillery

Distillery is a software development partner that helps organizations design, build, and scale modern technology solutions. Leading companies work with us to accelerate digital initiatives, solve complex technical challenges, and bring innovative products to market faster. Working as an extension of our clients' teams, we deliver lasting business value.

Distillery is committed to diversity and inclusion. We embrace a dynamic and inclusive culture where you have the opportunity to continuously learn and grow.

About the position

We're seeking for a Senior Data Analyst/Engineer to lead the migration of business logic from Power BI and Excel into a governed Databricks Lakehouse, embedded within the client's data team as the primary driver of that work. Work directly with business users to understand and reverse-engineer their existing reports, re-model and rebuild that logic in Databricks with performance and scalability in mind, validate the results, document definitions, and progressively transfer knowledge to the internal team.

Responsibilities

Reverse-engineer logic embedded in Power BI (DAX, semantic model relationships, Power Query) and Excel-based workflows, tracing it back to silver and source layers.
Design and build clean, well-modeled silver and gold/reporting layers in Databricks — applying dimensional modeling principles, medallion architecture, and coding best practices — so the visualization layer consumes small, fast, pre-validated datasets.
Partner with business SMEs (data team, finance, and other functions) to understand existing reporting processes and the metrics that must be exactly correct.
Develop and optimize incremental pipelines, adding validation and reconciliation consistent with the team's existing practices.
Build and maintain a data dictionary and semantic layer to support self-service and Genie / AI-assisted querying.
Contribute to data governance using Unity Catalog (access control, PII protection) in compliance with GDPR and CCPA requirements.
Support onboarding of new sources (e.g. Magento, CRM) into the platform.
Pair with and upskill the client's internal engineers and analysts; document work for ongoing internal support.

Requirements

Strong data modeling expertise: dimensional modeling, grain definition, star and snowflake schema design, SCD handling, and surrogate key strategy — able to assess whether an existing model reflects a reliable single source of truth and design the right replacement for performance and scale.
Hands-on Databricks experience: PySpark and SQL, Delta Lake, medallion architecture, incremental processing, and Unity Catalog.
Solid ability to reverse-engineer Power BI, including DAX, semantic model relationships, and Power Query, where much of the transformation logic typically lives.
Strong SQL and experience with the Azure data ecosystem (ADLS Gen2, Azure Synapse, Azure SQL / SQL Server).
Comfortable working directly with non-technical business users — eliciting requirements, validating logic, and translating between business needs and technical implementation.
Experience implementing data governance and handling sensitive / PII data in compliance with GDPR and CCPA requirements.
Self-directed, ownership-oriented mindset suited to an embedded staff-augmentation role with a clear delivery mandate.

Nice to Have

Exposure to Dynamics 365 F&O data structures and Synapse Link — given the source architecture, this is a meaningful advantage.
Experience building semantic layers and enabling natural language querying (e.g. Databricks Genie).
Experience integrating ecommerce (Magento) and CRM data sources.
Retail, ecommerce, or consumer goods data experience.
Experience using LLM-based tools to document or reverse-engineer legacy DAX and SQL logic at scale.

Why You'll Like Working Here

Join a global team committed to Distillery's core values: Unyielding Commitment, Relentless Pursuit, Courageous Ambition, and Authentic Connection.

100% Remote Work: Enjoy the freedom to work from anywhere while collaborating with a diverse, multinational team.
Competitive Compensation: Generous and competitive package in USD, along with a comprehensive benefits plan.
Flexible Hours: Create a schedule that aligns with your life and priorities.
Home Office Setup: Receive all the hardware and software needed to succeed from home.
Innovative Workplace: Collaborate with the global Top 1% of talent in a multicultural and dynamic environment.
Focus on Growth: Pursue professional and personal development while contributing your unique talents to a team where you can truly shine!

Apply Now

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