Senior Looker Developer, Data

Embedded Shishya; Spain (TX); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Power Digital is seeking an Analytics Engineer to lead the LookML semantic layer across our global client base. You will own modeling, governance, and scalable data products powering analytics and AI-enabled insights.

You will translate ambiguous requirements into durable models, collaborate with engineers and executives, and mentor junior team members while advancing Looker and data warehousing capabilities.

Qualifications

• 4+ years owning end-to-end LookML models and data products.
• Advanced SQL with Snowflake and BigQuery.
• Strong dimensional modeling and data warehousing fundamentals.
• Agency experience in performance marketing analytics.
• Experience deploying LookML across multiple Looker instances.

Responsibilities

• Own and evolve LookML semantic layer for analytics across the organization.
• Write scalable LookML to support emerging conversational analytics.
• Translate ambiguous stakeholder asks into clear technical implementations.
• Build Looker data products for internal stakeholders and clients.
• Design LookML for scale and performance; collaborate on optimization.
• Mentor junior developers and enforce the LookML style guide.
• Employ AI technologies to maximize team leverage.

Skills

LookML development

SQL proficiency

Looker

Git version control

CI/CD workflows

Data modeling

Agency analytics experience

Communication skills

Tools

Snowflake

BigQuery

dbt

Job description

Who We Are:

We are a tech-enabled growth firm–at the intersection of marketing, consulting & data intelligence–igniting revenue and brand recognition for leading and emerging companies around the world. As a people-first firm, we value diversity in backgrounds and experiences. We strongly believe our people and culture are key to our success. Our vision is to be recognized as the most valued and respected private growth marketing firm in the world–with a scalable brand, culture and services. Our mission is to power the relentless pursuit of growth and redefine what’s possible through a team of growth-obsessed experts who demand innovation and results - driven by integrity, autonomy, and grit.

As a full-service growth marketing firm, we offer best-in-class services including: SEO, Content Marketing, Paid Media, Social Media Marketing, Programmatic + CTV, Public Relations, Influencer Marketing, Email + SMS, Conversion Rate Optimization, Retail Marketing, and Creative. Here at Power Digital, we are hyper-focused on helping brands drive revenue growth and brand recognition, ultimately driving irrefutable value for our clients.

At the heart of Power Digital is our proprietary technology, nova, which analyzes businesses through first-party data, simplifying investment planning for marketing and diligence in M&A––putting marketers in a strategic seat at the table––and providing value in unparalleled ways.

Managing billions in media, our dynamic team––of consultative marketers, creatives, analysts and technologists––challenge traditional ways of planning and measurement through meticulous testing and data science across each milestone of the customer journey.

***Proficiency in spoken and written English at an advanced level is required for this role.

A day in the life:

As a key player in our Analytics Engineering & BI team, you'll be at the forefront of how Power Digital designs, governs, and scales its Looker semantic layer. A critical part of your role will be owning the semantic layer modeling that powers every data product we ship, and making sure that layer serves multiple analytics surfaces including conversational analytics. You'll translate ambiguous stakeholder asks into flexible, durable models, ship best-in-class data products, and make sure every consumer of that model, human or AI, gets the right answer every time.

Responsibilities:

• Own and evolve Power Digital's enterprise LookML semantic layer as the governed foundation for analytics across our 1,000+ person organization and 600+ clients.
• Write scalable and performant LookML with rich metadata to support emerging conversational analytics use cases
• Translate ambiguous stakeholder and client asks into clear technical implementations, then design and optimize Looker assets that support scalable, reusable self-service analytics.
• Build best-in-class data products in Looker for internal stakeholders and clients, applying strong data visualization and UI/UX principles.
• Design LookML for scale and performance, partnering with Analytics Engineering on aggregate layer tuning and query optimization, and deploy and govern LookML across multiple Looker instances.
• Own the LookML style guide and naming conventions, train and support users adopting self-service analytics, and mentor junior developers and analysts.
• Employ AI technologies to maximize team leverage and efficiency.
• Other applicable or related duties as assigned.

Role Requirements:

• 4+ years owning the full lifecycle of production-grade LookML models and data products
• Advanced SQL proficiency with a modern cloud data warehouse (Snowflake and BigQuery preferred).
• Strong foundation in dimensional modeling and data warehousing fundamentals.
• Agency experience, including performance marketing analytics. Comfortable with the measurement, channels, and multi-client pace of a digital marketing agency serving multiple clients from eComm to B2B
• Experience deploying and governing LookML across multiple Looker instances.
• Experience with extensible LookML and modular visualizations in a multi-tenant environment
• Experience mentoring and leveling-up the technical expertise of junior team members.
• Experience with git-based version control and CI/CD workflows.
• Excellent communication and presentation skills, comfortable with both engineers and executives.

Nice to have:

• • Experience routing LLM queries (directing natural-language questions to the right model/Explore.)
  • Conversational Analytics or comparable natural-language BI tooling experience.
  • Claude Code or similar agentic coding tools for accelerated LookML development
  • dbt or equivalent analytics engineering experience

Key Performance Indicators (KPIs)

• Reuse / leverage ratio: within the first 6 months, achieve >50% of client-facing reporting delivered from shared, governed semantic components (vs. bespoke client-specific LookML). Thereafter, maintain >= 75% quarter-over-quarter, measured from Looker content lineage
• Self-service deflection: within the first 6 months, increase the share of analytical questions resolved by users independently (Self-Service functionality or Omega) to 50% vs. adhoc requests from Asana and Slack. Thereafter, maintain >= 75%
• Source-of-truth integrity: hold production metric-definition discrepancies and data-quality incidents at <5%, reconciled at each monthly close across Looker and downstream surfaces (Pacing Sheets, LLMs).
• User Experience: 95% of production data products load in 5 seconds or less, measured weekly
• Code quality: 95% style-guide and naming-convention conformance, measured monthly

Most Important Things (MITs)

• Establish and maintain the LookML style guide, naming conventions, and metric-definition source of truth the rest of the team builds against.
• Deliver the highest-priority Looker data products for active client and internal engagements on committed timelines.
• Build and ensure routing scalability of the field-level semantic metadata required for Conversational Analytics and AI-driven queries.
• Partner with Analytics Engineering to methodically tune diagnose and clear performance bottlenecks on production data products.
• Mentor and deputize junior developers through hands‑on PR review and pairing on modeling and visualization work.

Power Digital’s people and culture are at the core of our success, which is why diversity in our team’s backgrounds and experiences are paramount. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who strive to make an impact inside and outside of the workplace. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employees' points of view are key to our success, and inclusion is everyone's responsibility.