Senior Data Architect & Analytics Lead
Austin, TX, United States
Allied Consultants, Inc.
Overview
Allied Consultants, Inc is a proudly Austin based firm with over 33 years of experience delivering top-tier technical and business professionals within Texas State Agencies. We are currently seeking an experience Senior Data Architect & Analytics Lead to play a key role within a high-impact technical services team.
At Allied Consultants, we value our consultants and are committed to providing an exceptional experience including:
- Highly competitive pay rates
- Local support staff for responsive, personal service
- Comprehensive benefits package, including:
- Medical insurance (with employer cost sharing)
- Life insurance
- A 401(K) plan with company match
- Flexible spending through a cafeteria plan
Candidates selected for interviews will be subject to a criminal background check and may be required to pass a drug screening, in compliance with federal and state regulations. All offers of employment are contingent upon successful completion of these checks.
Allied Consultants is a proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Responsibilities
**Location of job: Hybrid- 2 days (Tuesdays and Fridays) remote with 3 days (Mondays, Wednesdays-Thursdays) required to be onsite at the location listed above. Program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY.**
8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.
Job Description
Designs and builds relational databases. Develops strategies for data acquisitions, archive recovery, and implementation of a database. Cleans and maintains the database by removing and deleting old data. Must be able to design, develop and manipulate database management systems, data warehouses and multidimensional databases. Requires a depth and breadth of database knowledge that shall help with formal design of relational databases and provides insight into strategic data manipulation. Responsible for making sure an organization's strategic goals are optimized through the use of enterprise data standards. This frequently involves creating and maintaining a centralized registry of metadata. Has working knowledge of EIR Accessibility standards and assistive technologies. Ensures that all user interfaces for database administration and inputting, viewing, outputting data(via reports) are compliant with accessibility standards
Additional job details and special considerations
The Senior Data Architect & Analytics Lead will play a pivotal role in advancing the data infrastructure and analytics initiatives for the client's CDA team. This position is designed for a seasoned professional with in-depth expertise in data design and advanced analytics. Responsibilities include designing and implementing robust data structures to support analytics projects, developing comprehensive database and table designs for optimized data storage and retrieval, and utilizing advanced analytics tools and techniques to extract insights that facilitate decision-making. The successful candidate will collaborate with cross-functional teams to ensure alignment of data strategies with organizational goals and provide thought leadership on data modeling and analytics best practices. The ideal applicant will have proven experience as a Data Architect or similar role, with a strong understanding of data modeling, database design, and data governance principles, alongside familiarity with analytics tools and frameworks. Excellent communication and collaboration skills are essential for effectively working across teams. Join us to be part of a dynamic team dedicated to transforming healthcare through innovative data solutions, where your expertise will significantly contribute to the success of our initiatives at client.
Qualifications
Minimum Requirements:Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
10
Required
Experience in data architecture, data modeling, and data warehousing.
10
Required
Experience with business intelligence and big data solutions.
10
Required
Experience with healthcare data standards like FHIR, CCDA, and HL-7 would be a plus.
10
Required
Proven experience in leading and managing advanced analytics projects.
10
Required
Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform is required.
10
Required
Experience in developing, deploying, and managing applications and data storage on these platforms.
10
Required
Strong knowledge of data architecture principles and best practices.
10
Required
Proficiency in SQL and other database technologies.
10
Required
Knowledge of advanced analytics tools and strategies.
10
Required
Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience.
10
Required
Ability to lead teams and manage complex projects.
10
Required
Proficiency in cloud infrastructure management, including understanding of cloud-based data storage options, cloud security considerations, and best practices for deploying applications in the cloud.
10
Required
Develop and maintain enterprise data models, data warehouses, and data lakes to support analytics and reporting.
10
Required
Evaluate and integrate emerging technologies such as AI, machine learning, and big data analytics in healthcare.
10
Required
Work closely with data engineers, developers, and analysts to ensure seamless data accessibility and usability.
10
Required
Experience with ETL tools, data integration platforms, and APIs.
10
Required
Experience with EHR integration, APIs, and real-time streaming.
10
Required
Experience in architecting and designing ETL pipelines using Informatica tools.
10
Required
Design and model data for cloud-based data architecture solutions using Snowflake as the primary data platform.
8
Preferred
Experience in implementing and deploying big data applications
8
Preferred
Must have hands-on expertise in Python and/or Java/Scala
8
Preferred
Experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps
8
Preferred
Healthcare industry experience preferred
8
Preferred
Fundamental understanding of the Information Management principles, IT processes, SDLC, architecture and technologies adopted by an organization.
8
Preferred
Consulting and Facilitation Skills.
8
Preferred
Customer-focused ability to communicate across all levels of the organization.
8
Preferred
Proactive Leadership style; self-starter and strong attention to detail.
3
Preferred
The Open Group Architecture Framework (TOGAF), Cloud Solution Architecture on Azure, Amazon Web Services (AWS) and/or Google Cloud Platform (GCP) Certification.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Azure Big Data Business Intelligence Consulting Data Analytics Data governance Data Warehousing ETL GCP Google Cloud Informatica Java Machine Learning Pipelines Python RDBMS Scala SDLC Security Snowflake SQL Streaming TOGAF
Perks/benefits: 401(k) matching Career development Competitive pay Flex hours
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