Data Warehousing & Business Intelligence SME at Analytica

This role is designed for a seasoned data professional who bridges the gap between technical execution and strategic architecture. You should have at least 5 ye

Work type: remote

Location: Remote

Type: full-time

Summary

This role is designed for a seasoned data professional who bridges the gap between technical execution and strategic architecture. You should have at least 5 years of experience in Data Warehousing and BI, specifically within the public sector or government contracting space. Because this is a Subject Matter Expert (SME) position, you’ll need to demonstrate deep technical mastery in ETL/ELT pipelines and data modeling, as well as the leadership skills to mentor engineering teams. While the role is primarily remote, it requires a **hybrid commitment of one day per week** in the Bethesda/DMV area. This is a high-impact position within a fast-growing consulting firm that supports national security and health missions. It offers the stability of public sector work with the technical sophistication of cloud-based digital transformation projects. **You might be a good fit if you...** * Hold a professional certification in **AWS** (Architect/DevOps/SysOps), **Databricks**, or **Tableau**. * Are a **US Citizen** capable of obtaining a DHS Public Trust Clearance. * Have hands-on experience with modern data stacks involving Snowflake, Redshift, or Informatica. * Live in the **DC/Maryland/Virginia (DMV)** area and can commute to the office weekly.

Job Description

Analytica is seeking a highly experienced Data Warehousing & Business Intelligence Subject Matter Expert (SME) to provide expert-level guidance and leadership in the design, development, and enhancement of Data Warehousing and Business Intelligence (BI) systems. This individual will serve as a trusted advisor to technical teams and stakeholders, delivering deep insights into tools, best practices, and architectures that drive data integration, quality, visualization, and analytics solutions. The SME will help ensure successful outcomes through both strategic direction and hands-on technical support, backed by certification and experience in industry-leading technologies.

This will be hybrid with 1x a week in the office. Must be local to the DMV area.

Key Responsibilities

• Provide authoritative expertise in data warehousing architecture, ETL pipelines, and BI/reporting platforms.


• Advise on system design, performance tuning, integration patterns, and best practices to ensure high-quality data delivery and insight generation.


• Collaborate with cross-functional project teams including architects, developers, data analysts, and stakeholders to define and implement data solutions.


• Review, assess, and validate technical designs, data models, integration workflows, and implementation strategies.


• Lead solutioning for technical challenges and oversee prototyping, PoC development, and feasibility assessments.


• Contribute to the development of enterprise data governance, metadata management, and data quality strategies.


• Stay current with trends in cloud services, data science, visualization platforms, and enterprise analytics.


• Provide mentoring and technical guidance to engineers and developers across data projects.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related technical field.


• Minimum 5 years of professional experience in Data Warehousing, Business Intelligence, or related technical domains, with demonstrable success in an SME or technical leadership role.


• Strong understanding of data modeling, data integration, ETL/ELT design, analytics platforms, and data governance.


• Hands-on experience with BI tools (e.g., Tableau), data platforms (e.g., Oracle, AWS, Databricks), and ETL tools (e.g., Informatica).


• Proven ability to guide teams and shape enterprise data strategy and technical architecture.


• At least one professional certification in one or more of the following:


• AWS Certified Solutions Architect – Professional


• AWS Certified DevOps Engineer – Professional


• AWS Certified SysOps Administrator


• Databricks Certified Professional Data Scientist


• Tableau Certified Professional – Desktop or Server


• Must be US Citizen and eligible for DHS Public Trust Clearance or higher

• Experience leading large-scale enterprise data platform implementations, cloud migrations, or digital transformation programs.


• Expertise in cloud-based data platforms (e.g., AWS Redshift, Snowflake, Databricks, Oracle Cloud).


• Experience with Agile project methodologies and working within multi-disciplinary DevSecOps teams.


• Strong interpersonal, communication, and consulting skills with the ability to influence senior stakeholders.

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