Daimler AG
Principal, Data Architect Mercedes-Benz USA, LLC Corporate Headquarters, Atlanta
Daimler AG, Atlanta, Georgia, United States, 30383
Tasks
About Us
Mercedes-Benz USA is responsible for Sales, Marketing and Service of all Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values. Our products and employees reflect this dedication. We are looking for diverse top-notch individuals to join the Mercedes-Benz Team and uphold these hallmarks.
Job Overview Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Mercedes-Benz USA, you will be part of a group who love to solve real problems and meet real customer needs.
As the new member of the team your main responsibility will be to refine and create the next steps for data enablement using the latest data technologies. This includes leveraging the Azure ecosystem tools like Synapse, ADF, ADLS, SQL or NoSQL DBs etc to help transform the organization's data landscape. As the key contact person and agile enabler, you will be responsible for facilitating communication between various departments, teams, and stakeholders to ensure that all questions regarding products, services, and technologies related to data solutions are addressed in a timely and effective manner. You will also work closely with other members of the Data & Technology Department to design, implement, and maintain data solutions that meet the organization's needs.
Responsibilities
Data Modeling & Design: Defining the structure and format of data within the organization, including data models, data dictionaries, and data standards, domain data modelling.
Data Architecture: defining end to end solutions for Data Products using Agile working methodologies for MVP’s, POC’s etc. Architecture is optimized for large datasets acquisition, analysis, storage, cleansing, transformation and visualization
Data Integration: Ensuring that data is integrated and available to all relevant systems and applications, and that data flows seamlessly to the datalake and associated ecosystem
Data Security: Establishing data security policies and procedures, and ensuring that data is protected against unauthorized access, data breaches, and other security threats.
Data Governance: Defining policies and procedures for managing data, including data quality, data privacy, and data retention.
Data Strategy: Developing and implementing a data strategy that aligns with the organization's overall business objectives.
Technology Evaluation: Evaluating new and emerging technologies related to data management, and making recommendations on their adoption and implementation.
Qualifications Must have 10+ years of experience in the following:
Experience in SDLC with key emphasis on Data Technologies like – database technologies (SQL, NoSQL), ETL/ELT processes, and cloud computing platforms (Azure, AWS, GCP)
Experience in Data Warehouse Architecture and Designing Star, Snow flake Schema, Fact and Dimension tables, Physical and Logical data modelling using tools like Erwin, ER Studio etc
Extensive experience in data modelling, data architecture, solution architecture and master data concepts and business intelligence to design and build state of art data warehouses, data marts, and data lakes
Hands-on experience with Data technologies and frameworks on Azure cloud - Data Factory, Databricks, Python, Spark SQL, PySpark SQL, Azure SQL, SSIS, Logic App, Linked Services, Azure ML Studio, Triggers, Rest API’s, Power Bi and Git etc
Experience in developing and implementing data governance policies and procedures, including data quality, data privacy, and data retention.
Must have experience in evaluating new and emerging technologies related to data management, and making recommendations on their adoption and implementation.
Soft Skills
Excellent communication and interpersonal skills.
Proven ability to lead cross-functional initiatives and influence without authority.
Strong problem-solving mindset with a collaborative spirit.
Adaptability and resilience in fast-paced environments.
Commitment to diversity, inclusion, and ethical data practices
Education
Bachelor’s or Master’s Degree (accredited school) with emphasis in:
Computer/Information Science / Information Technology Engineering / Management Information System (MIS)
Additional Information No Sponsorship Available
No Relocation Available
Must be able to work flexible hours/work schedule
Work weekends when required
Work holidays when required
Travel domestically and internationally
EEO Statement Mercedes-Benz USA is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team. We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, gender, age, national origin, religion, marital status, veteran status, physical or other disability, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local law.
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Job Overview Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Mercedes-Benz USA, you will be part of a group who love to solve real problems and meet real customer needs.
As the new member of the team your main responsibility will be to refine and create the next steps for data enablement using the latest data technologies. This includes leveraging the Azure ecosystem tools like Synapse, ADF, ADLS, SQL or NoSQL DBs etc to help transform the organization's data landscape. As the key contact person and agile enabler, you will be responsible for facilitating communication between various departments, teams, and stakeholders to ensure that all questions regarding products, services, and technologies related to data solutions are addressed in a timely and effective manner. You will also work closely with other members of the Data & Technology Department to design, implement, and maintain data solutions that meet the organization's needs.
Responsibilities
Data Modeling & Design: Defining the structure and format of data within the organization, including data models, data dictionaries, and data standards, domain data modelling.
Data Architecture: defining end to end solutions for Data Products using Agile working methodologies for MVP’s, POC’s etc. Architecture is optimized for large datasets acquisition, analysis, storage, cleansing, transformation and visualization
Data Integration: Ensuring that data is integrated and available to all relevant systems and applications, and that data flows seamlessly to the datalake and associated ecosystem
Data Security: Establishing data security policies and procedures, and ensuring that data is protected against unauthorized access, data breaches, and other security threats.
Data Governance: Defining policies and procedures for managing data, including data quality, data privacy, and data retention.
Data Strategy: Developing and implementing a data strategy that aligns with the organization's overall business objectives.
Technology Evaluation: Evaluating new and emerging technologies related to data management, and making recommendations on their adoption and implementation.
Qualifications Must have 10+ years of experience in the following:
Experience in SDLC with key emphasis on Data Technologies like – database technologies (SQL, NoSQL), ETL/ELT processes, and cloud computing platforms (Azure, AWS, GCP)
Experience in Data Warehouse Architecture and Designing Star, Snow flake Schema, Fact and Dimension tables, Physical and Logical data modelling using tools like Erwin, ER Studio etc
Extensive experience in data modelling, data architecture, solution architecture and master data concepts and business intelligence to design and build state of art data warehouses, data marts, and data lakes
Hands-on experience with Data technologies and frameworks on Azure cloud - Data Factory, Databricks, Python, Spark SQL, PySpark SQL, Azure SQL, SSIS, Logic App, Linked Services, Azure ML Studio, Triggers, Rest API’s, Power Bi and Git etc
Experience in developing and implementing data governance policies and procedures, including data quality, data privacy, and data retention.
Must have experience in evaluating new and emerging technologies related to data management, and making recommendations on their adoption and implementation.
Soft Skills
Excellent communication and interpersonal skills.
Proven ability to lead cross-functional initiatives and influence without authority.
Strong problem-solving mindset with a collaborative spirit.
Adaptability and resilience in fast-paced environments.
Commitment to diversity, inclusion, and ethical data practices
Education
Bachelor’s or Master’s Degree (accredited school) with emphasis in:
Computer/Information Science / Information Technology Engineering / Management Information System (MIS)
Additional Information No Sponsorship Available
No Relocation Available
Must be able to work flexible hours/work schedule
Work weekends when required
Work holidays when required
Travel domestically and internationally
EEO Statement Mercedes-Benz USA is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team. We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, gender, age, national origin, religion, marital status, veteran status, physical or other disability, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local law.
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