Role: Senior Data Modeler
Location: Atlanta GA (Hybrid)
Type: Contract
Job Summary:
Seeking a highly skilled Senior Data Modeler with extensive experience in building scalable data platforms modern data warehouses and cloud-based data solutions. The ideal candidate will have strong expertise in SQL data modeling ETL/ELT development and cloud technologies such as Azure and Snowflake.
This role involves designing and optimizing data pipelines ensuring data quality and governance and partnering with cross-functional teams to deliver reliable high-performance analytics solutions.
Key Responsibilities:
- Design develop and maintain scalable data warehouse and lakehouse architectures
- Build robust ETL/ELT pipelines using tools such as Azure Data Factory DBT Databricks and Spark
- Develop and optimize complex SQL queries for high-performance data processing
- Implement data ingestion frameworks for structured and unstructured data sources (APIs databases cloud storage)
- Perform data modeling (conceptual logical physical dimensional modeling)
- Ensure data quality lineage validation checks and governance standards
- Support cloud data platform implementations (Azure Snowflake Synapse etc.)
- Collaborate with business stakeholders analytics teams and architects to translate requirements into technical solutions
- Contribute to CI/CD processes using Git Jenkins or similar tools
- Mentor junior engineers and promote best practices in data engineering
- Required Qualifications:
- Bachelors or Masters degree in Computer Science Information Systems or related field
- 8 years of experience in Data Engineering Data Warehousing or related roles
- Strong expertise in SQL and performance tuning
- Hands-on experience with Snowflake or Teradata
- Experience building data pipelines using Azure Data Factory DBT Databricks or Spark
- Strong understanding of data modeling concepts (fact/dimension indexing partitioning)
- Experience working with cloud platforms (Azure preferred; AWS or GCP a plus)
- Familiarity with Agile methodologies and DevOps practices
- Excellent problem-solving and communication skills
- Must be onsite at the client-site 3 days/wk in Atlanta GA.
Preferred Qualifications:
- Experience with large-scale enterprise data warehouse migrations
- Financial services healthcare telecom or large enterprise domain experience
- Experience implementing data governance and metadata management solutions
- Certifications in cloud platforms (Azure Snowflake AWS) preferred
Technical Skills:
Databases & Querying:
Cloud & Big Data:
- Azure (ADF Synapse Data Lake) Databricks Spark
ETL & Transformation:
- ADF DBT Informatica (nice to have)
DevOps & Tools:
Programming:
Role: Senior Data Modeler Location: Atlanta GA (Hybrid) Type: Contract Job Summary: Seeking a highly skilled Senior Data Modeler with extensive experience in building scalable data platforms modern data warehouses and cloud-based data solutions. The ideal candidate will have strong expertise in SQL ...
Role: Senior Data Modeler
Location: Atlanta GA (Hybrid)
Type: Contract
Job Summary:
Seeking a highly skilled Senior Data Modeler with extensive experience in building scalable data platforms modern data warehouses and cloud-based data solutions. The ideal candidate will have strong expertise in SQL data modeling ETL/ELT development and cloud technologies such as Azure and Snowflake.
This role involves designing and optimizing data pipelines ensuring data quality and governance and partnering with cross-functional teams to deliver reliable high-performance analytics solutions.
Key Responsibilities:
- Design develop and maintain scalable data warehouse and lakehouse architectures
- Build robust ETL/ELT pipelines using tools such as Azure Data Factory DBT Databricks and Spark
- Develop and optimize complex SQL queries for high-performance data processing
- Implement data ingestion frameworks for structured and unstructured data sources (APIs databases cloud storage)
- Perform data modeling (conceptual logical physical dimensional modeling)
- Ensure data quality lineage validation checks and governance standards
- Support cloud data platform implementations (Azure Snowflake Synapse etc.)
- Collaborate with business stakeholders analytics teams and architects to translate requirements into technical solutions
- Contribute to CI/CD processes using Git Jenkins or similar tools
- Mentor junior engineers and promote best practices in data engineering
- Required Qualifications:
- Bachelors or Masters degree in Computer Science Information Systems or related field
- 8 years of experience in Data Engineering Data Warehousing or related roles
- Strong expertise in SQL and performance tuning
- Hands-on experience with Snowflake or Teradata
- Experience building data pipelines using Azure Data Factory DBT Databricks or Spark
- Strong understanding of data modeling concepts (fact/dimension indexing partitioning)
- Experience working with cloud platforms (Azure preferred; AWS or GCP a plus)
- Familiarity with Agile methodologies and DevOps practices
- Excellent problem-solving and communication skills
- Must be onsite at the client-site 3 days/wk in Atlanta GA.
Preferred Qualifications:
- Experience with large-scale enterprise data warehouse migrations
- Financial services healthcare telecom or large enterprise domain experience
- Experience implementing data governance and metadata management solutions
- Certifications in cloud platforms (Azure Snowflake AWS) preferred
Technical Skills:
Databases & Querying:
Cloud & Big Data:
- Azure (ADF Synapse Data Lake) Databricks Spark
ETL & Transformation:
- ADF DBT Informatica (nice to have)
DevOps & Tools:
Programming:
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