Data & Analytics Architect

Key Responsibilities Data Architecture & Strategy Develop and maintain end‑to‑end architectures for data streams, ingestion pipelines, and cloud‑based processing environments. Define technical standards, patterns, and reusable components that support efficient data collection, integration, and operational performance. Provide architectural guidance for modernization efforts, including transitioning legacy workflows into Databricks‑native and cloud‑optimized designs. Hands‑On Engineering & Delivery Design, build, and optimize ETL/ELT pipelines for data acquisition, transformation, validation, and structured delivery. Lead technical prototyping and rapid development of new ingestion and processing capabilities. Implement quality assurance frameworks such as automated testing, CI/CD, version control workflows, and operational monitoring for reliability and reproducibility. Data Stream Operations & Subject Matter Expertise Oversee and improve operational processes for high‑volume, multi‑source data streams. Provide engineering support for financial data workflows and other specialized data streams. Contribute technical expertise to modernize dashboards or analytic systems by improving upstream data pipelines and data structures. Innovation & Platform Advancement Collaborate on next‑generation Databricks capabilities that enhance data processing, orchestration, and automation. Participate in platform design discussions to ensure future architectures are scalable and support emerging use cases. Collaboration, Training & Technical Stewardship Partner with cross‑functional teams to strengthen data literacy through documentation and knowledge sharing. Deliver training on pipeline best practices, workflow optimization, and modern engineering patterns. Mentor junior team members and support a community of practice centered on data engineering and cloud‑native architecture. Required Qualifications Bachelor’s degree required; advanced degree in a related field preferred. Experience designing and deploying cloud‑based data architectures (Azure, Databricks, AWS, SQL). Proficiency with modern data engineering tools and languages (Databricks, Python, R, SQL, Git, CI/CD tooling). Experience building large‑scale ingestion pipelines, automated reporting feeds, and cloud‑native processing workflows. Strong ability to translate program needs into scalable, maintainable technical designs. Excellent communication, documentation, and stakeholder engagement skills. Preferred Experience Experience working in federal, public health, or similarly complex organizational environments. As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is: $116,900 — $243,100 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. 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