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Looker Developer Jobs in California (NOW HIRING)

Senior Analytics Engineer

San Francisco, CA

$123K - $169K/yr

Pilot's data stack is Snowflake, dbt, and Looker, with Fivetran and Airflow for ingestion and ... Analytics Engineer or Data Engineer with end-to-end ownership of a production warehouse and ...

Senior Analytics Engineer

San Francisco, CA ยท On-site

$123K - $169K/yr

Pilot's data stack is Snowflake, dbt, and Looker, with Fivetran and Airflow for ingestion and ... Analytics Engineer or Data Engineer with end-to-end ownership of a production warehouse and ...

Data Engineer

Sunnyvale, CA ยท On-site

$134K - $161K/yr

Data Engineer LOCATION:Sunnyvale, CA Duration: 6 to 12+ Months Rate: DOE Client Note: 1. Experience ... Shell Scripting, Python 3. Knowledge on Google looker or similar reporting tool

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Looker Developer information

What are some common challenges faced by Looker Developers, and how can they be successfully managed?

Looker Developers often encounter challenges such as transforming complex business requirements into efficient Looker dashboards, ensuring data accuracy, and managing evolving datasets. Staying updated with the latest Looker features and best practices for LookML can help address technical hurdles, while proactive communication with business users is key to clarifying requirements. Collaboration with data engineers and analysts is typically necessary when troubleshooting data quality or modeling issues. By maintaining an organized workflow and seeking ongoing training, Looker Developers can navigate these obstacles and deliver valuable analytics solutions.

What is a Looker Developer job?

A Looker Developer is a data professional responsible for designing, developing, and optimizing data models, dashboards, and reports using Looker, a business intelligence (BI) and data visualization tool. They work closely with data analysts, engineers, and business stakeholders to translate data into actionable insights. Their tasks often include writing LookML, optimizing SQL queries, and ensuring data accuracy and performance. Looker Developers help organizations make data-driven decisions by creating user-friendly visualizations and scalable data solutions.

What are the key skills and qualifications needed to thrive in the Looker Developer position, and why are they important?

To thrive as a Looker Developer, you need expertise in data modeling, SQL, business intelligence concepts, and experience with the Looker platform. Familiarity with tools like LookML, version control systems, and possibly certifications such as Looker Business Analyst or Developer are highly valued. Strong problem-solving abilities, clear communication, and a collaborative mindset are important soft skills in this role. These skills are crucial to effectively transform raw data into actionable insights and support decision-making for diverse business stakeholders.

What are the most commonly searched types of Looker Developer jobs in California? The most popular types of Looker Developer jobs in California are:
What are popular job titles related to Looker Developer jobs in California? For Looker Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Looker Developer jobs in California look for? The top searched job categories for Looker Developer jobs in California are:
What cities in California are hiring for Looker Developer jobs? Cities in California with the most Looker Developer job openings:
Infographic showing various Looker Developer job openings in California as of June 2026, with employment types broken down into 9% Internship, 73% Full Time, 9% Part Time, and 9% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution.

Senior AI Solution Architect - Data & AI Platforms

Balin Technologies

Placentia, CA โ€ข Hybrid

$69.50 - $93/hr

Full-time

Posted 3 days ago


Job description

Hi, Job Title: Senior AI Solution Architect - Data & AI Platforms Location: Santa Ana, CA (Hybrid 3days/week) Job Description: Primary Skills: Big Query, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker, Data Architecture, AI/ML platforms, and Generative AI solutions, datalake house architectures, modern BI platforms, ML/MLOps, Conversational Analytics, Generative AI, and Agentic AI frameworks Secondary Skills: Looker, Tableau, Power BI, SQL, Python, Spark, Kafka Experience: 15+ years overall experience (with 5+ years in AI/Data Architecture roles) Job Summary: We are seeking a highly skilled AI Solution Architect with deep expertise in Data Architecture, AI/ML platforms, and Generative AI solutions, to design and deliver scalable, secure, and enterprise-grade data and AI solutions on Google Cloud Platform (GCP). The ideal candidate will have strong hands-on experience across datalake house architectures, modern BI platforms, ML/MLOps, Conversational Analytics, Generative AI, and Agentic AI frameworks, and will work closely with business, data engineering, and AI teams to drive end-to-end AI-led transformation. Key Responsibilities: Data & Platform Architecture Design and own end-to-end data architectures including ingestion, processing, storage, governance, and consumption layers Architect modern data lakehouse platforms using GCP services (e.g., BigQuery, Dataproc, Cloud Storage) Define scalable data platforms supporting batch, streaming, and real-time analytics Establish data governance, metadata management, data quality, lineage, and security frameworks AI, ML & MLOps Architecture Design ML/AI architectures supporting model training, deployment, monitoring, and lifecycle management Define and implement MLOps frameworks (CI/CD for ML, feature stores, model registries, observability) Collaborate with data scientists to productionize ML models at scale Evaluate and recommend ML frameworks, tools, and best practices Generative AI & Agentic AI Architect and implement Generative AI solutions using LLMs (e.g., text, code, embeddings, multimodal use cases) Design Conversational Analytics and AI-powered BI solutions Build and evaluate Agentic AI platforms, including autonomous agents, orchestration frameworks, and tool integrations Lead solution evaluations, PoCs, and vendor/tool assessments for GenAI and Agent-based systems Business Intelligence & Analytics Design modern BI and analytics platforms enabling self-service analytics and AI-driven insights Integrate BI tools with data lakehouse and AI layers Enable semantic layers, metrics definitions, and governed analytics Cloud & GCP Leadership Lead architecture and solution design on Google Cloud Platform (GCP) Utilize GCP services such as BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker, and IAM Ensure architectures follow best practices for security, scalability, performance, and cost optimization Stakeholder & Technical Leadership Partner with business leaders to translate business requirements into AI-driven solutions Lead technical design reviews and architecture governance Mentor engineers, architects, and data scientists Create architecture blueprints, reference architectures, and technical documentation Required Skills & Qualifications Core Technical Skills Strong experience in Data Architecture & Data Platforms Hands-on expertise in Data Lakehouse architectures Deep understanding of end-to-end data management Experience with modern BI platforms and analytics ecosystems Strong background in AI/ML architecture and MLOps Proven experience in Conversational Analytics and Generative AI Hands-on exposure to Agentic AI platforms, frameworks, and evaluations Strong expertise in Google Cloud Platform (GCP) Tools & Technologies (preferred) GCP: BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker AI/ML: TensorFlow, PyTorch, scikit-learn, LLM frameworks MLOps: CI/CD, feature stores, model registries, monitoring tools Data: SQL, Python, Spark, Kafka BI: Looker, Tableau, Power BI (or equivalent) Regards, DEVENDER REDDY Balin Technologies Email: devender@balintek.com