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Synectics for Management Decisions, Inc

Databrick Architect

Synectics for Management Decisions, Inc, Alexandria, Virginia, us, 22350

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Synectics for Management Decisions, Inc Get AI-powered advice on this job and more exclusive features. Position Overview

We are seeking a highly skilled Architect and implement scalable data platforms and pipelines using Databricks (Spark, Delta Lake, MLflow, etc.) Collaborate with stakeholders to design modern data architectures aligned with business needs. Lead migration efforts from legacy platforms to Databricks Lakehouse architecture Define data governance, quality, and security standards in collaboration with InfoSec and Compliance teams. Design and optimize data ingestion, transformation, and consumption patterns Guide and mentor data engineers and developers on Databricks best practices Integrate Databricks with tools like Power BI, Tableau, Kafka, Snowflake, or other enterprise systems. Evaluate and implement machine learning/AI workflows in a Databricks environment. Partner with cloud architects to ensure robust infrastructure setup on AWS, Azure, or GCP Create technical documentation, architectural diagrams, and data models.

Job Title: Databricks Architect

Position Overview

We are seeking a highly skilled

Databricks Architect

with deep expertise in data engineering, cloud platforms, and advanced analytics. This individual will play a critical role in designing, implementing, and optimizing scalable data solutions using the Databricks platform. As a trusted technical leader, you will collaborate across engineering, data science, and business teams to architect secure, high-performing, and cost-effective data pipelines and AI-driven systems.

️ Key Responsibilities

Architect and implement scalable data platforms and pipelines using Databricks (Spark, Delta Lake, MLflow, etc.) Collaborate with stakeholders to design modern data architectures aligned with business needs. Lead migration efforts from legacy platforms to Databricks Lakehouse architecture Define data governance, quality, and security standards in collaboration with InfoSec and Compliance teams. Design and optimize data ingestion, transformation, and consumption patterns Guide and mentor data engineers and developers on Databricks best practices Integrate Databricks with tools like Power BI, Tableau, Kafka, Snowflake, or other enterprise systems. Evaluate and implement machine learning/AI workflows in a Databricks environment. Partner with cloud architects to ensure robust infrastructure setup on AWS, Azure, or GCP Create technical documentation, architectural diagrams, and data models.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or a related field 8+ years of experience in data engineering or architecture roles 3+ years of experience architecting solutions with Databricks Expertise with Apache Spark, Delta Lake, MLflow, and Lakehouse architecture Proficiency in SQL, Python, and/or Scala Hands-on experience with cloud platforms (AWS, Azure, or GCP) Deep understanding of distributed computing, performance tuning, and data security Experience with CI/CD pipelines, DevOps tools, and orchestration tools (e.g., Airflow, Data Factory) Strong communication, leadership, and stakeholder management skills Ability to obtain and maintain a Public Trust clearance

Preferred Qualifications

Databricks Certified Data Engineer / Solutions Architect Familiarity with MLOps and deploying machine learning models in production Experience with data mesh, data fabric, or similar enterprise data architectures Public sector, healthcare, or financial services experience is a plus

What We Offer

Competitive compensation package Flexible hybrid work schedule Comprehensive medical, dental, and vision benefits 401(k) with company match Paid time off, holidays, and wellness days Training and certification reimbursements Opportunities to work on cutting-edge AI and big data projects

️ Equal Opportunity Statement

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.

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