Talent.com
Data Architect II

Data Architect II

HKSDallas, TX, US
job_description.job_card.variable_days_ago
serp_jobs.job_preview.job_type
  • serp_jobs.job_card.full_time
job_description.job_card.job_description

Data Architect

Holds deep expertise in Azure cloud technologies, Databricks, SQL Server, and Power BI to lead the design, integration, and optimization of enterprise data systems across AEC (Architecture, Engineering, and Construction) operations. Performs scalable data platforms and analytical models that support complex project workflows, resource planning, financial tracking, and operational insights across multiple disciplines and geographies. Anticipates job expectations while performing design and technical tasks requiring application of standard techniques and knowledge.

Responsibilities

  • Architects, implements, and maintains a modern enterprise data platform using Azure Data Lake, Azure Synapse, and Databricks
  • Designs robust tabular models using SQL Server Analysis Services (SSAS) and Tabular Editor for optimized Power BI reporting
  • Develops and enforces standards for data modeling, semantic layer design, and performance optimization
  • Collaborates with BIM, project controls, finance, and operations teams to integrate construction, scheduling, and cost data
  • Leads data integration strategies across on-premises SQL Server systems, cloud services, and third-party platforms
  • Collaborates with the technology peers and business functions to engineer, integrate, review and approve technology solutions
  • Implements and maintains data governance, security, and compliance protocols in line with industry and organizational standards
  • Supports and mentors data engineers and BI developers on best practices for ETL / ELT, DAX, and Power BI development
  • Authors and maintains appropriate architectural standards, roadmaps, and other related documentation
  • Manages the lifecycle of Power BI datasets, including incremental refresh, partitioning and parameterization
  • Translates AEC-specific data needs into scalable data solutions, enabling real-time and historical insights into KPIs such as earned value, WIP, RFI metrics, and resource utilization
  • Provides afterhours engagement as needed for high severity situations
  • Performs other duties assigned by leadership
  • Performs work in a manner that demonstrates an awareness of the firm's cultural values, including a commitment to quality, innovation, learning and growth
  • Supports the firm's cultural values, including a commitment to quality, innovation, learning and growth
  • Acts as a mentor by coaching and motivating project team members
  • Acts with positive, service-driven attitude with a commitment to going above and beyond to help customers and team members
  • Fosters and maintains a collaborative professional working relationship with project teams
  • Takes personal responsibility for fostering a green workplace through sustainable work practices
  • Understands the financial implications of overhead and chargeable time
  • Collaborates in delivering a project on defined budget requirements
  • May assist in maintaining and cultivating essential relationships

Qualifications

  • Bachelor's degree in Computer Science or an equivalent combination of education and experience
  • 4+ years of experience in data architecture or enterprise BI development
  • Proven expertise in :
  • Azure Data Services (Data Lake Storage, Synapse, Data Factory, Purview)
  • Databricks (Delta Lake, Spark SQL, notebooks)
  • SQL Server, including SSAS Tabular models
  • Power BI (DAX, composite models, row-level security)
  • Tabular Editor (v2 or v3, C# scripting, deployment automation)
  • Experience with large data volumes, real-time data ingestion, and pipeline orchestration.
  • Experience in MS Office Suite
  • Proficiency in reporting tools such as SSRS, Power BI, Tableau, etc.
  • Solid understanding of the AEC domain, project lifecycle, and key data entities (e.g., schedules, budgets, drawings, RFIs, submittals)
  • Strong knowledge of data modeling techniques (Kimball / star schema, data vault, etc.).
  • Strong understanding of data visualization principles, best practices, and user experience design
  • Solid knowledge of SQL, DAX, and data querying to extract and manipulate data
  • Strong customer service, interpersonal skills and the ability to interact with all levels of staff
  • Strong work ethic and eagerness to produce high quality, accurate results
  • Ability to work with large data sets and perform data analysis to derive meaningful insights
  • Strong analytical and problem-solving skills with keen attention to detail
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams
  • Ability to hold sensitive information with a high level of confidentiality and integrity
  • Ability to communicate and present ideas in a clear, concise and professional manner both verbally and in writing
  • Ability to proactively problem solve and apply innovative solutions
  • Ability to work and collaborate in a team environment, and ability to work independently and prioritize work
  • Ability to work on multiple projects at the same time
  • Ability to effectively meet deadlines at expected quality

    • The information contained in this job description is intended to serve as a minimum requirement and guideline not as a guarantee for promotion to this level. Some additional criteria, qualifications or expectations may be required by service, sector or practice group.

    If you currently work for HKS, please submit your application via the Internal Careers Portal. HKS is an EEO / AA Employer : M / F / Disabled / Veteran

    serp_jobs.job_alerts.create_a_job

    Data Architect • Dallas, TX, US