ApTask
Rate Range: $80-$85/Hr
Job Description: We're seeking a visionary Data Architect with deep expertise in Databricks to lead the design, implementation, and optimization of our enterprise data architecture. You'll be instrumental in shaping scalable data solutions that empower analytics, AI, and business intelligence across the organization. If you thrive in a fast-paced environment, love solving complex data challenges, and have a passion for cloud-native platforms like AWS Databricks, we want to hear from you. Key Responsibilities:
Design and implement robust, scalable, and secure data architectures using
Databricks , Spark, Delta Lake, and cloud-native tools. Collaborate with data engineers, analysts, and business stakeholders to define data models, pipelines, and governance strategies. Develop and maintain data lakehouses, ensuring optimal performance and cost-efficiency. Define best practices for data ingestion, transformation, and storage using
Databricks notebooks,
jobs, and workflows. Architect solutions for real-time and batch data processing. Ensure data quality, lineage, and compliance with internal and external standards. Lead migration efforts from legacy systems to modern cloud-based data platforms. Mentor junior team members and evangelize data architecture principles across the organization. Required Skills & Qualifications:
12+ years of experience in data architecture, with 5+ years hands-on in Databricks. Strong Experience in Snowflake Experience in cloud platforms AWS, especially AWS Databricks. Strong proficiency in Apache Spark, Delta Lake, and PySpark. Experience with data modelling, ETL/ELT pipelines, and data warehousing. Familiarity with CI/CD, DevOps, and Infrastructure as Code (Terraform, ARM templates). Knowledge of data governance, security, and compliance frameworks. Excellent communication and stakeholder management skills. Preferred Qualifications:
Databricks Certified Data Engineer or Architect. Experience with MLflow, Unity Catalog, and Lakehouse architecture. Background in machine learning, AI, or advanced analytics. Experience with tools like Apache Airflow, dbt, or Power BI/Tableau.
About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.
If you have any concerns or queries about your personal information, please feel free to contact our compliance team at businessexcellence@aptask.com .
Applicant Consent: By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy , and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.
Job Description: We're seeking a visionary Data Architect with deep expertise in Databricks to lead the design, implementation, and optimization of our enterprise data architecture. You'll be instrumental in shaping scalable data solutions that empower analytics, AI, and business intelligence across the organization. If you thrive in a fast-paced environment, love solving complex data challenges, and have a passion for cloud-native platforms like AWS Databricks, we want to hear from you. Key Responsibilities:
Design and implement robust, scalable, and secure data architectures using
Databricks , Spark, Delta Lake, and cloud-native tools. Collaborate with data engineers, analysts, and business stakeholders to define data models, pipelines, and governance strategies. Develop and maintain data lakehouses, ensuring optimal performance and cost-efficiency. Define best practices for data ingestion, transformation, and storage using
Databricks notebooks,
jobs, and workflows. Architect solutions for real-time and batch data processing. Ensure data quality, lineage, and compliance with internal and external standards. Lead migration efforts from legacy systems to modern cloud-based data platforms. Mentor junior team members and evangelize data architecture principles across the organization. Required Skills & Qualifications:
12+ years of experience in data architecture, with 5+ years hands-on in Databricks. Strong Experience in Snowflake Experience in cloud platforms AWS, especially AWS Databricks. Strong proficiency in Apache Spark, Delta Lake, and PySpark. Experience with data modelling, ETL/ELT pipelines, and data warehousing. Familiarity with CI/CD, DevOps, and Infrastructure as Code (Terraform, ARM templates). Knowledge of data governance, security, and compliance frameworks. Excellent communication and stakeholder management skills. Preferred Qualifications:
Databricks Certified Data Engineer or Architect. Experience with MLflow, Unity Catalog, and Lakehouse architecture. Background in machine learning, AI, or advanced analytics. Experience with tools like Apache Airflow, dbt, or Power BI/Tableau.
About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.
If you have any concerns or queries about your personal information, please feel free to contact our compliance team at businessexcellence@aptask.com .
Applicant Consent: By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy , and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.