Databricks Data Engineer - Senior - Consulting

Position: Databricks Data Engineer - Senior - Consulting - Location Open 1

Databricks Data Engineer - Senior - Consulting - Location Open 1

Location:

Anywhere in Country.

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Technology – Data and Decision Science – Data Engineering – Senior The Opportunity

In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle.

Your

Key Responsibilities

• Designing, building, and operating scalable on-premises or cloud data architecture.
• Analyzing business requirements and translating them into technical specifications.
• Optimizing data flows for target data platform designs.
• Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
• Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives.
• Lead end-to-end data pipeline development, including data ingestion, transformation, and storage.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Provide technical guidance and mentorship to junior data engineers and team members.
• Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts.
• Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
• Stay updated with the latest trends and technologies in data engineering and cloud computing.

Skills And Attributes For Success

• Strong analytical and decision-making skills.
• Proficiency in cloud computing and data architecture design.
• Experience in data integration and security.
• Ability to manage complex problem‑solving scenarios.

To qualify for the role, you must have

• A Bachelor’s degree in Computer Science, Engineering, or a related field required (4-year degree). Master’s degree preferred.
• 5+ years of experience in data engineering, with a focus on cloud data solutions.
• Expertise in Databricks and experience with Spark for big data processing.
• Proven experience in at least two end-to-end data engineering implementations, including:
  • Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence.
  • Development of a real‑time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making.
• Strong programming skills in languages such as Python, Scala, or SQL.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Excellent problem‑solving skills and the ability to work independently and as part of a team.
• Strong communication and interpersonal skills, with a focus on client management.

Required Expertise for Senior Consulting Projects

• Strategic Thinking:
  Ability to align data engineering solutions with business strategies and objectives.
• Project Management:
  Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope.
• Stakeholder Engagement:
  Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.
• Change Management:
  Skills in guiding clients through change processes related to data transformation and technology adoption.
• Risk Management:
  
  Ability to identify potential risks in data projects and develop mitigation strategies.
• Technical Leadership:
  Experience in leading technical discussions and making architectural decisions that impact project outcomes.
• Documentation and Reporting:
  Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.

Ideally, you’ll also have

• Experience with data quality management.
• Familiarity with semantic layers in data…