
Chief Data Architect
10 hours ago
We are looking for an experienced data engineering professional to lead our team in delivering end-to-end data platform solutions. The ideal candidate will have a strong background in data engineering, excellent leadership skills, and experience working with cloud-based technologies.
This is a hybrid role requiring technical depth, leadership skills, and client-facing experience. The successful candidate will be responsible for managing a team of data engineers, overseeing projects, and ensuring the successful delivery of cloud-based data solutions.
Main Responsibilities:
- Manage and mentor a team of data engineers delivering projects across multiple client engagements.
- Oversee the end-to-end delivery of cloud-based data solutions, from ingestion to modeling to visualization.
- Architect and guide the implementation of data platforms using tools like Databricks, Synapse, Fabric, and Snowflake.
- Collaborate with internal and client-side project managers, analysts, and stakeholders to align technical solutions with business goals.
- Ensure delivery best practices: CI/CD, version control, peer reviews, testing, monitoring, and documentation.
- Foster a culture of technical excellence, continuous improvement, and learning within the team.
Requirements:
- 12+ years in data engineering or related fields, with at least 34 years managing engineering teams in a consulting or service company environment.
- Proven experience delivering data platform solutions for enterprise clients.
- Hands-on expertise in at least two of the following:
- Databricks
- Azure Synapse Analytics
- Microsoft Fabric
- Snowflake
- Strong understanding of ELT/ETL patterns, data modeling (dimensional & data vault), and cloud storage (e.g., ADLS, S3).
- Solid programming and scripting experience (SQL, Python, or Scala).
- Familiarity with BI/visualization tools: Power BI, Tableau, Sigma, Qlik, Google Looker
- Experience working in cloud environments: Azure, AWS, or GCP.
- Excellent communication and client-facing skills.
Nice to Have:
- Experience in data governance, security, and compliance (e.g., GDPR, HIPAA).
- Familiarity with orchestration and automation tools like Azure Data Factory, dbt, or Apache Airflow.
- Exposure to Agile delivery, project estimation, and team scaling.
- Experience mentoring junior engineers and building high-performance teams.
About the Job:
This is a unique opportunity to join our team and contribute to the development of innovative data solutions. If you are a motivated and experienced data engineer looking for a new challenge, please apply now.
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