Technical Architect Data

We are looking for a seasoned Data Technical Architect to work with our team and our clients to design architect and implement enterprise-grade data platforms services pipelines data models visualizations and advanced analytics solutions. The Data Technical Architect must be a technologist with excellent communication and customer service skills and a passion for data innovation and problem solving. This role spans the full data lifecycle including data architecture data engineering analytics AI/ML enablement and cloud platform modernization. The ideal candidate will provide technical leadership in defining enterprise data strategies architecting scalable data solutions and guiding teams through successful implementation.

Responsibilities include:

• Design greenfield data solution stacks in the cloud or on-premises using modern data services technologies and industry best practices.
• Architect the migration and modernization of legacy data environments with a focus on scalability performance reliability and security.
• Define enterprise data architecture standards integration patterns and technical roadmaps supporting business and mission objectives.
• Design conceptual logical and physical data models to support transactional analytical and AI/ML workloads.
• Assess and understand data sources data models schemas data quality requirements and data workflows to support enterprise data initiatives.
• Assess understand and design ETL/ELT processes data pipelines orchestration workflows and data integration solutions.
• Lead architecture reviews and provide technical oversight to engineering teams implementing data solutions.
• Establish data governance metadata management data quality data lineage and security best practices across enterprise data platforms.
• Assess understand and design reporting solutions business intelligence architectures data visualization strategies and executive dashboards.
• Evaluate and recommend BI and analytics platforms ensuring alignment with business and technical requirements.
• Assess understand and design machine learning and AI solutions MLOps pipelines and supporting infrastructure for data science teams.
• Address technical inquiries concerning customization integration enterprise architecture and the functionality of data products and platforms.
• Design and implement cloud-based data lakehouse architectures leveraging AWS services or equivalent Azure and GCP technologies.
• Architect solutions involving relational databases data warehouses data lakes streaming platforms and distributed data systems.
• Collaborate with stakeholders engineers data scientists and business teams to translate requirements into scalable technical solutions.
• Support Agile software development lifecycles and modern DevSecOps DBOps and MLOps practices.
• Provide technical leadership mentorship and architectural guidance to project teams.
• Contribute to the growth and advancement of our AI & Data Exploitation Practice.

• Ability to hold a position of public trust with the U.S. Government.
• Bachelors degree and 10 years of relevant experience.
• 5 years of experience designing and architecting enterprise-scale data platforms data warehouses data lakes and lakehouse solutions.
• 5 years industry experience developing commercial software and solving complex technical challenges.
• 5 years direct experience delivering enterprise data solutions with technologies such as:
  • Big Data Technologies: Hadoop Spark Kafka Databricks or other distributed data processing platforms.
  • Databases:Relational databases including PostgreSQL MySQL Microsoft SQL Server and databases including MongoDB and similar technologies.
  • Data Integration & Orchestration: Airflow NiFi or other worklfow orchestration and pipeline management platforms.
  • Cloud Platforms: AWS services such as EC2 EMR RDS Redshift Glue SageMaker and related analytics services or equivalent Azure and GCP services.
  • Streaming Technologies:Kafka Spark Structured Streaming Kinesis Pub/Sub Event Hubs or similar real-time streaming technologies.
  • Data Science& Analytics:Python R Databricks or Data preparation analysis and machine learning libraries.
  • Search Technologies: Elasticsearch Solr Lucene.
  • Programming Languages:Python Java Scala C or other object-oriented and scripting languages.
• Advanced SQL expertise including query authoring optimization performance tuning and complex data analysis.
• Experience developing conceptual logical and physical data models.
• Experience defining enterprise data architecture standards governance frameworks and integration patterns.
• Experience architecting transactional systems data warehouses data lakes and lakehouse environments.
• Experience with DBOps MLOps DevOps and CI/CD practices.
• Experience with message queuing stream processing and highly scalable data platforms.
• Experience working with large-scale structured and unstructured datasets.
• Experience manipulating processing and extracting value from complex disconnected datasets.
• Experience constructing complex analytical queries and performing data analysis in modern data processing environments.
• Experience with data modeling tools methodologies and best practices.
• Experience aggregating and integrating information from multiple data sources for reporting and analytics.
• Experience leading technical design sessions and architecture reviews with stakeholders and engineering teams.
• Experience supporting project teams of engineers developers analysts and data scientists building dashboards reports analytics solutions and machine learning models.
• Experience working in Agile development environments.
• Excellent written and verbal communication skills with the ability to communicate technical concepts to both technical and non-technical audiences.
• Local to the Washington DC metro area preferred

Steampunk relies on several factors to determine salary including but not limited to geographic location contractual requirements education knowledge skills competencies and experience. The projected compensation range for this position is $180000 to $225000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunks total compensation package for employees. Learn more about additional Steampunk benefits here.

Identity Statement

As part of the application process you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is aChange Agentin the Federal contracting industry bringing new thinking to clients in the Homeland Federal Civilian Health and DoD sectors. Through ourHuman-Centered delivery methodology we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As anemployee owned company we focus on investing in our employees to enable them to do the greatest work of their careers and rewarding them for outstanding contributions to our growth. If you want to learn more about our story visit.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability status protected veteran status or any other characteristic protected by participates in the E-Verify program.