Lead Data Architect
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Job Location:
Irving, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
Lead Data Architect
City: Irving
State: Texas
Status: Accepting Candidates
Description: This position is the Lead Database Architect and is responsible for production deployments troubleshooting and support.
Data Architect
Duration: Mar 23 - Dec 26 2026 possibility of extensions
Duration: Mar 23 - Dec 26 2026 possibility of extensions
Location: 1255 Corporate Dr The Westpoint
Irving Texas 75038
Irving Texas 75038
Zero exceptions will be made as this is corporate policy- no delayed remote start no remote work
Must Have
Azure
SQL Synapse Power BI Oracle Postgres Python Unix
Nice To Have
AutoSys DevOps understanding
Azure
SQL Synapse Power BI Oracle Postgres Python Unix
Nice To Have
AutoSys DevOps understanding
Job Description
As a Lead Data Engineer/Architect you will be responsible for big data/analytics projects that gather and integrate large volumes of data. Specializes in developing and programming methods processes and systems to consolidate and analyze unstructured diverse big data sources to generate insights and solutions for client services and product enhancement. Acquires data from multiple data sources to perform analysis. Implements and validates predictive models as well as create and maintain statistical models with a focus on big data. Identifies analyzes and interprets trends or patterns in complex data to provide answers to business questions as well as provide recommendations for action. Interprets data and analyzes results using various advanced statistical techniques and tools. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations and make data driven decisions. Collaborates with various partners to prioritize requests/needs and provide a holistic view of the analysis. Measures and monitors results of applied recommendations and present adjustments. Ensures all data acquisition sharing and results of applied recommendations are compliant with company standards.
As a Lead Data Engineer/Architect you will be responsible for big data/analytics projects that gather and integrate large volumes of data. Specializes in developing and programming methods processes and systems to consolidate and analyze unstructured diverse big data sources to generate insights and solutions for client services and product enhancement. Acquires data from multiple data sources to perform analysis. Implements and validates predictive models as well as create and maintain statistical models with a focus on big data. Identifies analyzes and interprets trends or patterns in complex data to provide answers to business questions as well as provide recommendations for action. Interprets data and analyzes results using various advanced statistical techniques and tools. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations and make data driven decisions. Collaborates with various partners to prioritize requests/needs and provide a holistic view of the analysis. Measures and monitors results of applied recommendations and present adjustments. Ensures all data acquisition sharing and results of applied recommendations are compliant with company standards.
Basic Qualifications
Bachelors degree in a quantitative field such as statistics computer science engineering or applied mathematics or equivalent work experience
Ten or more years of relevant experience
Bachelors degree in a quantitative field such as statistics computer science engineering or applied mathematics or equivalent work experience
Ten or more years of relevant experience
Preferred Skills/Experience
Strong experience in analytics advanced analytics/statistics predictive modeling machine learning data visualization
Good experience and expertise in Synapse Presto Spark SQL Druid SuperSet
Strong experience and expertise in Java SQL and Azure Cloud technologies
Prior experience in Azure Synapse Analytics Azure Data Factory SSIS Azure Spark pool and building / managing large scale data warehouse is a plus
Very knowledgeable in Apache Airflow
Previous experience in building data products
Understanding of machine learning techniques and algorithms
Experience in python/R/SAS/SQL for data extraction data mining and predictive analytic
Proficient understanding of algorithms data structures architectural design patterns and best practices
Effective communication presentation leadership problem-solving and analytical skills
Strong experience in analytics advanced analytics/statistics predictive modeling machine learning data visualization
Good experience and expertise in Synapse Presto Spark SQL Druid SuperSet
Strong experience and expertise in Java SQL and Azure Cloud technologies
Prior experience in Azure Synapse Analytics Azure Data Factory SSIS Azure Spark pool and building / managing large scale data warehouse is a plus
Very knowledgeable in Apache Airflow
Previous experience in building data products
Understanding of machine learning techniques and algorithms
Experience in python/R/SAS/SQL for data extraction data mining and predictive analytic
Proficient understanding of algorithms data structures architectural design patterns and best practices
Effective communication presentation leadership problem-solving and analytical skills
Can you please provide a summary of the project/initiatives which describes whats being done
The Avvance Data & Analytics team is building a scalable data platform to support one of the banks complex B2B2C products. Today the data lake operates onpremises integrating data across multiple systems that span the full merchant and consumer lifecycle. The team is actively migrating this platform to Azure to improve scalability reliability security and long term extensibility.
As the migration is completed the focus shifts to scaling and maturing the platform-keeping data pipelines and transformations aligned with rapidly evolving product features expanding data coverage and strengthening data modeling and governance. The team will be enabling standardized analytics and self-service reporting to support key business initiatives.
The next phase of the roadmap includes integrating richer event level and behavioral data improving platform reliability and automation and building data science and machine learning use cases using Azure services and more. The Lead Data Architect / Engineer will play a critical role in shaping this post migration phase by driving architecture decisions scaling the data foundation and enabling advanced analytics on top of the modernized platform.
What are the top 5-10 responsibilities for this position (Please be detailed as to what the candidate is expected to do or complete on a daily basis)
SQL Data analytics including ad-hoc SQL queries data transformations extraction script analysis Synapse data layer analysis and planning
What skills/technologies are required (please include the number of years of experience required)
SQL database and query analysis - 5 years Synapse data layering - 2 years Unix OS - 5 years Python 2 years
What skills/attributes are preferred (these are a desired not required)
Team leadership and mentoring
SQL Data analytics including ad-hoc SQL queries data transformations extraction script analysis Synapse data layer analysis and planning
What skills/technologies are required (please include the number of years of experience required)
SQL database and query analysis - 5 years Synapse data layering - 2 years Unix OS - 5 years Python 2 years
What skills/attributes are preferred (these are a desired not required)
Team leadership and mentoring
What does the interview process look like
How many rounds 2 - first technical with two panel members second with Product/BL team
Video phone or in person Video
How technical will the interviews be First technical - potential hands on SQL skill evaluation
How many rounds 2 - first technical with two panel members second with Product/BL team
Video phone or in person Video
How technical will the interviews be First technical - potential hands on SQL skill evaluation
