• Build and maintain ETL/ELT data pipelines in Databricks and Spark, ensuring data is ingested, transformed, and delivered reliably for analytics and AI use cases. • Develop and evolve logical and physical data models to support reporting, experimentation, and advanced workflows (e.g., scoring models, signal generation). • Implement monitoring, alerts, and testing for data quality, timeliness, and lineage to ensure trustworthy data delivery. • Support workflow orchestration with Databricks Jobs, DBT, or equivalent scheduling tools to operate at scale. • Contribute to data pipelines and tooling that support retrieval-augmented generation (RAG), vector integrations, or embedding workflows. • Design and optimize bulk GenAI data pipelines in Databricks to support generative AI applications at scale. • Partner with AI engineers and data scientists to enable experimentation, model training, and production-grade deployments. • Develop frameworks for data ingestion, transformation, governance, and monitoring across CRM, sales, and revenue systems. • Work with RevOps, sales, and customer success stakeholders to translate business needs into data requirements and stable technical implementations.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Motley Fool is looking for a highly skilled Freelance Data Architect specializing in Snowflake to join our team on an independent contract basis, 40 hours per week. This is a mid to senior level position and requires 5+ years of relevant experience. While this role is flexible and 100% remote, candidates must be located in the United States for consideration. The Data Democratization, Governance & Strategy team at The Motley Fool is dedicated to making data accessible and actionable for all business end-users. We specialize in the final stretch of data delivery, transforming warehouse data into easily consumable formats. By working collaboratively with third-party vendors and stakeholders, we build data structures that support seamless reporting and valuable business insights. Our close partnerships with business analysts and data engineering ensures that every team at The Motley Fool can leverage data to drive informed decisions and strategic growth. What would you do in this role? - Evaluate and optimize the reporting layer of our Snowflake data warehouse to enhance cost efficiency and compute utilization. - Develop and implement strategies to improve query performance, reduce data processing time, and enhance overall efficiency. - Collaborate closely with the data engineering team to implement optimizations without compromising data integrity or security. Snowflake Optimization: - Utilize advanced analytic engineering techniques within Snowflake to optimize data transformations and computations. - Design efficient data models and schemas to support optimized reporting and analytics. - Implement best practices for data loading, storage, and retrieval to minimize costs and maximize performance. Compute Efficiency: - Optimize query performance by tuning Snowflake configurations and query execution plans. - Implement caching strategies and materialized views to improve response times for commonly used reports. - Collaborate with data engineers to ensure efficient ETL processes and data transformations. Qualifications - Proven experience working with Snowflake data warehouse, including optimization projects. - Strong expertise in analytic engineering techniques within Snowflake, such as query optimization, indexing, and partitioning. - Deep understanding of Snowflake's architecture, including virtual warehouses, storage optimization, and clustering keys. - Proficiency in SQL and data modeling for Snowflake. - Familiarity with ETL processes and data pipeline optimization. - Excellent problem-solving skills and the ability to troubleshoot complex performance issues. - Strong communication skills to collaborate with cross-functional teams and stakeholders. - Self-motivated with a proactive approach to identifying and implementing optimizations. Compensation Below is our target compensation range. While we are budget conscious, we’re also eager to find the right person for this role, so if your target is outside of this range, please don’t hesitate to apply and we’d be happy to have a conversation. - Hourly Pay Range: $95 — $110 USD

Role - Azure Data engineer Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge big data technologies to design scalable, reliable, and high-performance data platforms. As we continue to grow, we’re looking for a skilled Azure Data engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. We are looking for OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people who are looking for an H1B sponsorship for the year 2027 quota. Company: Bright Vision Technologies ( www.bvteck.com ) Job Title: Azure Data engineer Job Location: Bridgewater, New Jersey - 08807 Onsite/Hybrid: Remote FULL-TIME ROLE WITH BRIGHT VISION Job Description: Environment: Apache Hadoop, Spark, PySpark, Scala, Kafka, HDFS, Hive, HBase, Airflow, Data Warehousing, ETL pipelines, SQL, NoSQL databases, Cloud Platforms (AWS / Azure / GCP), Big Data services (EMR, Dataproc), Docker, Linux, CI/CD pipelines, Git, Agile methodologies BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. For every role, a coding test is required, so apply only if you are confident and technically strong. We prefer at least 3 to 5 years real time experience. If you are a Azure Data engineer with the above skills and are looking for an H-1 B sponsorship this year, please send your resume immediately to Sairaj@bvteck.com. Best Regards Sairaj Sales Manager Bright Vision Technologies Email: Sairaj@bvteck.com (O): (908) 505-3454 | ext 1011 Address: #991 Route 22 West, Suite 200, Bridgewater, New Jersey - 08807 we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know. Position offered by “No Fee agency.” Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

• Develop and maintain robust, scalable data pipelines (ETL), following engineering best practices and data modeling standards; • Build and maintain databases to meet business objectives and regulatory requirements; • Create and maintain continuous data quality monitoring processes, implementing automated validations and alerting systems to identify and notify about inconsistencies, anomalies, or pipeline failures; • Lead migration of legacy data to Databricks, ensuring integrity, performance, and governance; • Collaborate with analysts and partner teams to ensure understanding of business rules and data consistency; • Support the evolution of the data architecture by evaluating and implementing new tools and processes.