Designs and maintains scalable cloud data architectures, pipelines, ETL processes, data warehouses, databases, and data models. Ensures data quality, accuracy, security, availability, and consistency across sources. Develops SQL queries for analytics and reporting, and documents pipelines, schemas, architectures, and models. The role requires expertise with Python, Java, Scala, R, SQL, relational and NoSQL databases, cloud platforms, and Snowflake.
Design, develop, and maintain scalable, secure, and highly available data architectures on cloud platforms such as AWS, Azure, or Google Cloud. Build and maintain data pipelines, ETL (Extract, Transform, Load) processes, and data warehouses to ensure smooth data flows and availability. Ensure data quality, accuracy, and consistency across multiple data sources. Utilize programming languages like Python, Java, Scala, and RDBMS, NoSQL databases, and Cloud-based data warehousing services such as Snowflake. Create and maintain documentation for data pipelines, data models, database schema, and data architecture. Write SQL queries to extract data for analytics and reporting purposes. Bachelor’s degree in Science, Technology, or Engineering (any) along with five (05) years of experience in the job offered or related occupation is required. Work location: Alpharetta, GA and various unanticipated locations throughout the U.S.
Email Resume to HR Dept., Opus Technologies, Inc., at [email protected]
Similar Jobs
Fintech • News + Entertainment • Software • Database • Financial Services
Lead the architecture and development of scalable AWS-based data ingestion, transformation, and orchestration pipelines. Build reliable data infrastructure using Python, SQL, Airflow, Lambda, ECS, SQS, and Terraform. Establish data modeling, quality, lineage, monitoring, testing, and observability practices while partnering with analysts, scientists, and backend engineers. Mentor senior engineers, guide technical decisions, and provide hands-on leadership for complex data platform initiatives.
Top Skills:
Amazon EcsAmazon KinesisAmazon RedshiftAmazon S3Amazon SqsApache AirflowApache FlinkAWSAws GlueAws LambdaBeautifulsoupCi/CdDatabricksDockerGreat ExpectationsKafkaMonte CarloMwaaPythonScrapySnowflakeSQLTerraform
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design and operate scalable batch and streaming data platforms supporting machine learning and generative AI. Build pipelines for structured, unstructured, OCR, document, and image data; develop RAG, semantic search, and LLM-powered solutions; and establish data quality, observability, governance, orchestration, and deployment practices. Partner with stakeholders, lead platform scalability and cost optimization, mentor engineers, and translate ambiguous needs into production-ready technical roadmaps while securely handling sensitive data.
Top Skills:
AirflowAmazon KinesisSparkAWSAzureAzure Event HubsChart.JsDatabricksDeequDelta LakeDockerGithub ActionsGCPGreat ExpectationsJavaKafkaKubernetesLlmsMlopsPlotlyPysparkPythonRagScalaSeabornSnowflakeSQLTerraform
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Configure and maintain Adobe Experience Platform and Real-Time CDP data pipelines, XDM schemas, datasets, identity resolution, Profile enablement, segmentation readiness, and destination activation. Validate data quality, troubleshoot ingestion and identity issues, manage sandboxes, and implement privacy, consent, governance, and access controls. Partner with architects, data engineers, consultants, analysts, data scientists, and marketing teams to support reporting, personalization, and machine learning readiness.
Top Skills:
Adobe AnalyticsAdobe Experience PlatformAdobe I/O RuntimeAdobe Journey OptimizerAdobe Real-Time CdpAdobe Source ConnectorsAdobe TargetAPIsAWSAzureBatch IngestionBigQueryCcpaData PrepEltETLGCPGdprJavaScriptPythonQuery ServiceRedshiftSalesforce CdpSegmentSnowflakeSQLStreaming IngestionWeb SdkXdm
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
