Data & AI Solutions Architect
CBTS
Amazon RedshiftAWSAzureCloudCyber SecurityETLPySparkPythonPyTorchScikit-LearnSQLTableau+1 more
Solutions Architect – Data and AI
CBTS
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
SeniorLead
Tech Stack
Amazon RedshiftAWSAzureCloudPySparkPythonPyTorchScikit-LearnSQLTableauTensorflow
About the role
- Assist in technical pre-sales engagements: collaborate with sales, translate business requirements into data and AI architectures, and develop/present solution proposals and business cases.
- Conduct technical deep-dives and workshops, addressing data integration, quality, governance, and security concerns; use rapid prototyping and proofs-of-concept to de-risk proposals.
- Design, develop, and implement robust, scalable, and secure end-to-end data pipelines and architectures on cloud platforms (AWS, Azure) leveraging Snowflake and Databricks.
- Lead development, validation, and operationalization of advanced analytical models and machine learning solutions to address business problems and deliver measurable insights.
- Drive hands-on implementation, customization, and integration of data and AI solutions within client environments, ensuring adoption and value realization.
- Oversee data quality, integrity, and governance throughout the solution lifecycle; establish best practices and monitoring mechanisms.
- Apply DevOps/MLOps principles to automate deployment, monitoring, and maintenance of data and AI systems in production.
- Act as primary technical point of contact and trusted advisor for clients; translate technical concepts into actionable business recommendations for diverse audiences.
- Collaborate closely with client teams to understand objectives, provide strategic guidance on emerging data and AI technologies, and identify upsell/expansion opportunities.
- Ensure high billable utilization by tracking time, managing project scope, and focusing on client satisfaction and project profitability.
- Provide technical leadership and mentorship to junior team members; contribute to internal knowledge base, best practices, and reusable assets.
- Stay abreast of industry trends, new technologies, and evolving best practices in data engineering, data science, cloud computing, and AI.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, Applied Mathematics, Statistics, or a related quantitative field.
- Master's degree preferred.
- Minimum of 8+ years of progressive experience in data engineering, data science, or forward-deployed engineering roles within a professional services or consulting environment, with a proven track record of billable client engagements.
- Demonstrated expertise in designing, building, and optimizing data pipelines and architectures using Python, SQL, and PySpark.
- Extensive hands-on experience with Snowflake and Databricks, including large-scale data migrations and complex data processing.
- Deep proficiency with at least one major cloud platform (AWS or Azure), including relevant data and AI services (e.g., AWS S3, Glue, Redshift, SageMaker; Azure Data Factory, Synapse Analytics, Azure ML).
- Solid understanding and practical experience with machine learning algorithms, model development, validation, and deployment using frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Experience with data visualization tools (e.g., Tableau, Power BI, Qlik) for presenting insights and monitoring solutions.
- Strong understanding of data governance, data quality, and data security best practices.
- Experience working in an Agile development environment and familiarity with DevOps/MLOps practices.
- Excellent written and verbal communication, presentation, and interpersonal skills.
- Ability to travel to client sites as needed (up to 30%).
- Relevant cloud certifications preferred (e.g., AWS Certified Solutions Architect, Azure Data Engineer Associate).
- Experience with Generative AI (GenAI) technologies and Large Language Models (LLMs) preferred.
- Prior experience in a billable consulting role with a strong utilization track record preferred.
- Due to U.S. Government requirements applicable to foreign-owned telecommunications providers, non-US citizens may be required to submit to an extensive government agency background check which will necessitate disclosure of sensitive Personally Identifiable Information.
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