Senior Data Architect

Akkodis is seeking a Data Architect for a Direct Hire (FTE) position, and this is a 100% Remote role. Ideally, the client is looking for applicants with a solid background in Data Architecture, OLTP/OLAP, AI/ML, Cloud, and Data Modelling.

Salary Range: $150K-$190K annually. The salary may be negotiable based on experience, education, geographic location, and other factors.

Responsibilities

• Collaborate with other Engineers and Architects to define the enterprise data architecture roadmap.
• Drive the design and optimization of OLTP and OLAP models for scalability, performance, and maintainability.
• Establish standards for data modeling, storage, and integration across systems.
• Partner with other key stakeholders within engineering in developing a comprehensive data and BI strategy aligned with business objectives.
• Define data governance practices, data access control, compliance, and quality standards.
• Lead proofs-of-concept (POCs) for new data technologies and frameworks.
• Own the architectural review process and guide development teams on data-related projects.
• Establish and ensure best patterns and practices for ORM usage (Entity Framework and others) and SQL optimization, according to business needs.
• Evaluate and recommend where AI/ML can enhance data-driven decision-making.
• Stay current with modern data engineering trends, cloud-native architectures, and big data platforms.
• Actively participate and take ownership of Data Architecture artifacts via the ADR process.
• Drive AI adoption by introducing and guiding teams in leveraging AI capabilities within the data engineering space to enhance internal efficiency, innovation, and decision-making in everyday workflows.
• Liaison between technology and product teams, assisting teams in translating business requirements into tangible architectures that meet business needs now in and in the future.
• Design data architectures that accurately reflect and support evolving complex product and business processes, and are required by our customer base.
• Lead data architecture initiatives, collaborating with cross-functional teams, from concept through implementation, including governance and quality frameworks.
• Identify opportunities for predictive analytics and advanced modeling.

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• Support and promote the company values through positive interactions with both internal and external stakeholders on a regular basis.
• Other strategic business initiatives or special cross-functional project involvement as required.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or relevant professional experience.
• 10+ years of relevant professional experience in architecting Enterprise Data and Business Intelligence solutions.
• Proven experience designing and optimizing large-scale data warehouse implementations for multiple business units, with a deep understanding of polyglot environments.
• Ability to architect scalable, high-performance solutions supporting analytical and operational workloads, including query optimization and index management.
• Ability to clearly articulate data architecture concepts, build consensus among stakeholders, and guide the organization toward scalable, well-governed solutions that deliver measurable business value.
• Expertise in modern data architectures (e.g., Medallion, Data Lakehouse, MDM, DataMesh, Streaming) and dimensional modeling architectural patterns (StarSchema, Snowflake, etc.)
• Proficiency in cloud data platforms (Snowflake, Redshift, BigQuery, Synapse, Databricks) and integration with diverse data sources.
• Deep understanding of visualization and reporting platforms for service analytics (i.e., Tableau, Power BI, etc.)
• Ability to design conceptual, logical, and physical data models using the appropriate database technology (SQL, NoSQL, Graph, etc.) based on workload characteristics, scalability needs, and data access patterns.
• Familiarity with ORM technologies such as Entity Framework.
• Skilled in building robust ETL/ELT pipelines ensuring data quality (validation, profiling, cleansing) and timeliness (experience with tools like FiveTran, dbt, Rivery is a plus).
• Expertise in data governance frameworks, security, compliance, and stewardship.
• Experience with DataOps, including CI/CD for data workflows, pipeline observability, data quality practices, etc.
• Awareness of emerging AI technologies and their implications for data architecture, including considerations for data governance, model training, code generation, and integration of machine learning and generative AI into enterprise data ecosystems.
• Interest and ability in mentoring and/or training other team members as applicable.

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• Experience working cross-functionally and promoting collaborative partnerships to drive results.
• Proven ability to communicate effectively with various audiences/levels, both internal and external stakeholders, including leadership, through various mediums.
• Ability to present and convey material both formally and informally to all levels of an organization.
• Proven organization skills with the ability to address short-term and long-term demands simultaneously.
• Easily adaptable with the ability to pivot with changing business needs, keeping a professional demeanour, and leading by example for other colleagues.
• Demonstrated ability to prioritize and manage workload and meet project deadlines.
• High-level of confidence, integrity, and professional courtesy.
• Strong Microsoft suite experience, including Teams or similar web conferencing and internal communication software experience preferred.
• Naturally inquisitive with a desire to learn, solve problems, and dig into detailed analysis.

If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, please contact Narendra Pratap at (213)-410-5211 or narendra.pratap@akkodis.com.

Equal Opportunity Employer/Veterans/Disabled

Benefits offerings include, but are not limited to:

401(k) with match

Medical insurance

Dental Insurance

Vision assistance

Paid Holidays Off

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.