| Data Architect Azure Databricks and Gen AI Architect and Data Governance Architect and Solution Architect and Solution Architect - Decision Science Analyst (DSA- - San Antonio TX (Onsite) at San Antonio, Texas, USA |
| Email: [email protected] |
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From: James Smith, Yochana Solutions INC [email protected] Reply to: [email protected] Data Architect Azure Databricks - San Antonio TX (Onsite) Gen AI Architect- San Antonio TX (Onsite) Data Governance Architect - San Antonio TX (Onsite) Solution Architect - AI ML Data Modeling- San Antonio TX (Onsite) Solution Architect - Decision Science Analyst (DSA) / Business Intelligence Analyst (BIA)- San Antonio TX (Onsite) Job Title- Data Architect Azure Databricks Location San Antonio TX (Onsite) Duration 1+year 15+ years of Data Solutions Design/Development Experience with at-least 2+ years working as Lead Data Architect for a medium to large sized project or proposal. Be able to Design & Develop and Discuss with client architect/team around data architecture and data related issues. Analyze and assess the impact of the requirements on the data and its lifecycle, Lead the data architecture design of medium to complex data analytics applications and systems. Strong experience in Azure with hands-on experience in any 2 or more of : Azure SQL DB ,Azure SQL Managed Instance ,Azure Data Lake Store, Azure Cosmos DB, IoT/Event Hub. Strong experience in defining end to end data engineering solutions with hands-on in any 2 or more of : Azure Data Factory, Azure DataBricks, Azure API for data, Logic Apps, T-SQL. Experience with design/develop 1 or more of below is preferred. Azure Synapse Analytics or Snowflake on Azure based soluteions. Data Migration to Azure. Azure Analysis Services & PowerBI / Tableau based analytical reporting. Big-data Solutions leveraging HD-Insight based solutions OR Spark-Scala Batch/Micro-Batch OR Kafka based Streaming. Azure ML / AI or Any Analytical /Data Science (Python/R/SAS etc.) leveraged solutions. Data Governance Expertise with any of industry leading tools with training/exposure on Azure Purview. Exposure to Azure DevOps Implementation, DevSecOps / DataOps Methods preferred. Should be able to drive the technology design meetings, propose technology design and architecture . Demonstrate breadth of experience in various client scenarios and situations. Job Title- Gen AI Architect Location San Antonio TX (Onsite) Duration 1+year Responsibilities Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Build various ML Models within the Model guidelines and framework. Consults with peers for guidance, as needed. Translates business requirements into specific analytical questions, build ML Models and present model outcomes to non-technical business colleagues. Consults with Data Engineering, IT, the business, and other internal stakeholders to deploy analytical solutions Stay current with emerging trends and technologies in data quality management, data profiling, data cleansing tools and AI/ML. Collaborate with data governance teams to ensure compliance with regulatory requirements and industry and legal standards related to data quality and privacy. Able to identify GenAI use cases given in various business scenarios and come up with possible solutions. Familiar with various GenAl technologies, Prompt Engineering, RAG etc Skills & Qualifications 10 to 12 years of relevant experience, and 6+ years of experience in data science, machine learning, quantitative analytics (Mathematics, Statistics or Operational Research etc) roles Masters degree in computer science, Statistics, or a related field (Mathematics, Operational Research, Data Science) Experience in Building and validating statistical, machine learning, and other advanced analytics models. Experience in Regression (multiple, Logistic etc), Classification (Decision Tree, Random Forest, XGBoost etc) and Time series Forecasting models (ARIMA), Segmentation, NLP, Deep Learning and Graph Analytics. Experience in Data Mining, Python, R, SQL, and familiarity with ML technologies Experience in using ML Libraries. Working Experience in Domino Data Lab, AWS Sagemaker, Snowflake are a plus Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Job Title- Data Governance Architect Location San Antonio TX (Onsite) Duration 1+year Coordinate on Data Analytics on new requirements, priorities and deliverables. Instrumental to set up and establish best practices across the organization to govern data (processes, roles, policies, tools, etc.) Develop necessary artefacts to support the data governance organization Collaborate with stakeholders from multiple disciplines to translate data requirements into clearly defined and easily understood documents (data glossaries, dictionaries, policies, data flows, etc.) Support and orchestrate the data governance team(s) to set priorities and implement data governance practices Drive discussions with the data governance teams(s) to help set up data policies to govern data Collaborate with the data governance team(s) to scale to the entire business and empower them to become Coordinate on Data Analytics on new requirements, priorities and deliverables. Instrumental to set up and establish best practices across the organization to govern data (processes, roles, policies, tools, etc.) Develop necessary artefacts to support the data governance organization Collaborate with stakeholders from multiple disciplines to translate data requirements into clearly defined and easily understood documents (data glossaries, dictionaries, policies, data flows, etc.) Support and orchestrate the data governance team(s) to set priorities and implement data governance practices Drive discussions with the data governance teams(s) to help set up data policies to govern data Collaborate with the data governance team(s) to scale to the entire business and empower them to become self-sufficient to govern data Identify strengths and weaknesses in the data governance organization to recommend ways to improve Facilitate processes to address transversal, cross-business data governance issues Help set-up smooth processes between business and IT to implement solutions to govern data Lead initiatives with data governance tool(s) (e.g. MDM, meta-data management, data quality reporting) Measure and monitor data quality Define, drive and prioritize data quality remediation plans. Job Title- Solution Architect - AI ML Data Modeling Location San Antonio TX (Onsite) Duration 1+year Responsibilities Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Build various ML Models within the Model guidelines and framework. Consults with peers for guidance, as needed. Translates business requirements into specific analytical questions, build ML Models and present model outcomes to non-technical business colleagues. Consults with Data Engineering, IT, the business, and other internal stakeholders to deploy analytical solutions Stay current with emerging trends and technologies in data quality management, data profiling, data cleansing tools and AI/ML. Collaborate with data governance teams to ensure compliance with regulatory requirements and industry and legal standards related to data quality and privacy. Able to identify GenAI use cases given in various business scenarios and come up with possible solutions. Familiar with various GenAl technologies, Prompt Engineering, RAG etc Skills & Qualifications 10 to 12 years of relevant experience, and 6+ years of experience in data science, machine learning, quantitative analytics (Mathematics, Statistics or Operational Research etc) roles Masters degree in computer science, Statistics, or a related field (Mathematics, Operational Research, Data Science) Experience in Building and validating statistical, machine learning, and other advanced analytics models. Experience in Regression (multiple, Logistic etc), Classification (Decision Tree, Random Forest, XGBoost etc) and Time series Forecasting models (ARIMA), Segmentation, NLP, Deep Learning and Graph Analytics. Experience in Data Mining, Python, R, SQL, and familiarity with ML technologies Experience in using ML Libraries. Working Experience in Domino Data Lab, AWS Sagemaker, Snowflake are a plus Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Excellent problem-solving, analytical skills and attention to detail, with the ability to identify patterns, trends, and anomalies in data. Ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Strong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders. Job Title- Solution Architect - Decision Science Analyst (DSA) / Business Intelligence Analyst (BIA) Location San Antonio TX (Onsite) Duration 1+year Job responsibilities: should have is quantitative analytics experience with some fundamental statistical knowledge Apply statistical and mathematical techniques and provide decision support for business Gather, manipulate and synthesize data, models to draw conclusions and make recommendations Leverage business/ analytical knowledge to participate in discussions with cross functional teams Document assumptions, methodology, validation and testing Present results and recommendations to wider audiences Use visualization techniques to support your argument Support identifying and gathering the relevant and quality data sources required through testing or exploratory data analysis (EDA). Utilize data & analytics to provide superior actionable business insights and recommendations Preferred Skills & Qualifications: Degree in Economics, Mathematics. Finance, Statistics, or any other quantitative discipline with 8 years of experience in Quantitative analytics field Strong Expertise and Experience in SQL, SAS, and Tableau. Demonstrate competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making. Working knowledge of identifying, documenting and analyzing business and/or data requirements Knowledge of industry best practices Experience in developing reports and Dashboards Expertise in deriving insights from various analysis and present outcomes to different set of stakeholders. Working experience in financial domain in preferred Thanks & Regards, James Smith- Team Lead [email protected] Direct No: 949-201-1313 Yochana Solutions INC Windsor, Ontario- Canada Farmington hills, MI-48335- USA USA | CANADA I Mexico | INDIA W: www.yochana.com Note: This is not an unsolicited mail. If you are not interested in receiving our e-mails then please reply with subject line Remove Keywords: artificial intelligence machine learning database rlang information technology Michigan Texas Data Architect Azure Databricks and Gen AI Architect and Data Governance Architect and Solution Architect and Solution Architect - Decision Science Analyst (DSA- - San Antonio TX (Onsite) [email protected] |
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| 05:04 AM 14-Jan-25 |