INDUSTRY STATS
According to the U.S. Bureau of Labor Statistics, Data Architect positions are at a 8% growth rate, which is as fast as average. With that said, there are currently 168,000 jobs in the market right now. The total number of jobs is expected to increase by 13,200 to 181,200 in the period of 2020-30.
What’s more, the median annual wage for the Data Architect jobs was $98,860 in May 2020. The lowest 10% earned less than $54,070, and the highest 10% more than $155,660.
Our conclusion? The Data Architect job market is wide open for candidates.
Top Data Architect sections that make the best resume
- Header
- Professional summary
- Experience (with numbers and results)
- Relevant skills
- Education
- Certifications
Things to remember when writing your Data Architect experience section
Data Architect Experience Section Checklist:
- Keep it short: use no more than 4-6 bullet points per position;
- Go for short, easy-to-read sentences to keep recruiters engaged;
- Focus on relevant job experience that will enhance your application;
- Describe your experience using the C-A-R (challenge, action, result) methodology;
- Ditch buzzwords and go for power words instead.
To illustrate it more clearly, we’ve collected some of the best experience section examples from real Data Architect resumes. Check them out below!
- Involved in creating BI product, helping business teams achieve their productivity and profitability goals through data insights and analytics
- Created complex Reports using Power BI and SSRS and Created Cubes & KPI using SSAS and MDX queries for reporting.
- Create OLAP cubes using SSAS and generate reports using SSRS / Power BI based on user requirement.
- Introduced several reusable generic Talend systems that allowed saves up to 50% on development time.
- Successfully created EDW from base OLTP source systems to deliver BI reporting
- Support near real time data integration between OLAP systems
- Supported multiple BU's for both real-time/historical reporting
- Tools Used: Erwin,Teradata,Sqlserver,Talend,SSIS,visual corn and Tableau.
- Increased quality of data products by 50% with data best practices
- Executed successful integration of data pipelines for Mergers & Acquisitions
- Designed and delivered high performing data solutions with 5X improved performance for consumer product line
- Co-Spearheaded the creation of the bank's Data Warehouse
- Spearheaded the development of the bank's Business Intelligence solutions
- Laid down foundations for company wide structure for business requirements
- Architect, Business Analyst, Data Analyst, DBA, Developer, and Manager
- Departments: IT Project Management Office (PMO), Data Warehouse, Healthcare Quality, and Patient Safety Organization (PSO)
- Providing Data Governance, Analysis, Modeling, Solutions and Analytics
- Technologies: C#, Python, MSSQL 2008 through 2016 SSIS & SSAS, PostgreSQL, Tableau, Amazon Web Services (AWS), EPIC, GE Centricity EMR, Natural Language Processing (NLP), and PowerShell
- In 2017 created and managed data for a Qualified Clinical Data Registry
- Data Modeler Work with key business representatives, data owners, end users.The role involved Analysis of requirement, Designing, Leading and supporting the Build and coordination with testing team, implementation support.
- Created the below key deliverable as a Lead Data Analyst.
- Complex Data mappings
- Data gap analysis
- Data sourcing Strategy
- Batch analysis
- Application design document
- Data Model / Data requirement specification
- Worked on the Asset Liability Management tool (Ambit Focus Management - FIS ) and helped the Business user in UAT. Gained Functional Expertise on asset liability management
- Worked on the Credit risk Engine ( Ambit Capital management - FIS)
- Ensured the CDP had a robust roadmap, data architecture and data dictionary/catalog to support the integrity and scalability of the ecosystem
- Developed the analytical infrastructure for efficient operations and effective decision making, both for experts and non-experts
- Assessed data requirements and presented data architectural recommendations and technical design documentation to meet operational needs for internal and external contacts/suppliers
- Developed processes which were cost effective, with thorough testing regimes and future-proofed for further industry developments
- I designed a new ETL process for 40 billion records a day about web activity for telco law obligation.
- Delivered various high speed reporting platforms for business analysis with cost savings over 30%
- Increased quality of data products by 50% with data best practices
- Delivered high performing data solutions with 10X improved performance for ??? product
- Worked as 2nd MWD Engineer under training in Khalda Pet.
- Developed a 6th App Store ranked health app
- Established ~ 100 FTE mainframe competency
- 15+ Data Scientists from 4 agile autonomous teams got the data which they need to forecast sales and demand.
- Reached 300% increase in time to create and complete an ETL spec
- I designed a new ETL process for 40 billion records a day about web activity for telco law obligation.
- Delivered various high speed reporting platforms for business analysis with cost savings over 30%
- Increased quality of data products by 50% with data best practices
- Delivered high performing data solutions with 10X improved performance for ??? product
- API integration with the Funraisin event registration platform via Matillion ETL and the Data Warehouse - to create automated processes into Raiser's Edge with reconciliation reporting
- Explored and mapped data models across the organisation, allowing me to recommend solutions to improve new and existing systems
- Developed data management, project management and development/testing processes in JIRA to assist with documentation and learnings for future projects
- Ensured the CDP had a robust roadmap, data architecture and data dictionary/catalog to support the integrity and scalability of the ecosystem
- Developed the analytical infrastructure for efficient operations and effective decision making, both for experts and non-experts
- Assessed data requirements and presented data architectural recommendations and technical design documentation to meet operational needs for internal and external contacts/suppliers
- Developed processes which were cost effective, with thorough testing regimes and future-proofed for further industry developments
- Driven requirement gathering workshops with business process owners and converted them into use-case diagrams, sequence diagrams and conceptual data models.
- Design and Built physical data models for the 3 domains of master data implemented as part of the transformation project namely Product, Customer and Finance.
- Defined end-to-end data flows among MDM, CRM(Salesforce), ERP (Oracle NetSuite), Budgeting & Planning (Oracle SPM and SPC) and other applications.
- Defined data governance framework and policies with the business and technical data stewards to effectively leverage data assets.
- Helped the business de-duplicating master data using fuzzy matching algorithms and third-party frameworks in the migration phase.
- Liaison with third-party vendors to understand data feeds to enrichinternal data.
- Worked as the Designer and Developer for the implementation of CMA Open Data requirements for product master data management in Lloyds using IBM MDM Collaboration Server.
- Involved in the requirements gathering phase with business users and BAs for the project which implemented the Product master data on IBM MDM CS.
- Involved in designing and building the various workflow and import and export functionality for the 4 different Product Types which Lloyds sells to its customers.
- Lead a team of developers, providing feedback, clarifying requirements and helping with technical questions.
- Keep the Project Manager and the IT Leads updated on the overall progress of the projects and manage the tasks distributed to the team.
- Keep the code and the features implemented by the other developers in accordance to the requirements.
- Worked as the SME, Designer and Developer for the implementation of master data and reference data management in Lloyds using IBM MDM Collaboration Server.
- Involved in requirements gathering with business users and BAs for more than 10 projects which implemented the master data and reference data on IBM MDM CS.
- Worked closely with client SME in defining the roadmap for the entire MDM implementation.
- Designed and implement various re-usable components and best practices within the data models which have reduced design and build effort.
- I designed and built data model to support Kraft product specifications across 10 European countries.
- My responsibilities mainly included requirement gathering of the various country specific master data and retailer requirements and provide business and technical solution in IBM MDM WPC to implement those requirements.
- Single point of contact for all client queries regarding the GS1 rules and GDS capabilities.
- Architected and helped implement a new Data Platform to satisfy Reporting, Data Science and Analytical products.
- Designed and implemented an organizational effort around Data Debt.
- Created Organization wide Data Standards as part of a broader Data Strategy.
- Lead a team to implement a CDC based solution in place of a custom built polling solution for data updates.
- Up leveled the Data Engineering team on AWS as well as helped spear head the board organization approach on Cloud.
- Re-architected our site wide search approach increasing relevancy by 20% using Elasticsearch stemming.
- Designed and implemented an event driven data lake that consumes from all internal CDC changes -- sanitizing, tagging and placing for consumption back onto an event bus for utilization with ML algorithms.
- Designed the Kubernetes based approach to micro service team database management.
- Created an advanced ABAC micro service built on python, k8s for all Workfront application security needs.
PRO TIP
Check the Data Architect job description for inspiration. Look for similarities between your employer’s values and your experience.
Action Verbs for your Data Architect Resume
Recommended reads:
The Best Way to Write Your Data Architect Resume’s Skills Section
Data Architect resume: skills section checklist
- Scan the job advert for keywords worth including in your resume;
- List both hard and transferable skills;
- Leave room for discussion: include some of your skills in other sections of your resume;
- Focus on skills that prove your expertise and leave the irrelevant ones behind.
Top Skills for your Data Architect resume
Python
SQL
R
Machine Learning
Java
Tableau
Communication
Curiosity
Business mindset
Adaptability
Critical and analysitcal thinking
Problem solving
PRO TIP
When picking skills to feature in your resume, make sure they'll be relevant to the position you’re applying to. The point of listing skills is for you to stand out from the competition. Stay away from repetitive, meaningless skills that everyone uses in their resumes. Or else, they’ll backfire and make you look like an average candidate.
Data Architect Resume Header: Tips, Red Flags, and Best Practices
CHECKLIST For Your Data Architect Resume Header
- Your name and surname in a legible and larger resume font
- The job title you’re applying for or your current job title as a subheading to your name
- Link to your portfolio or online profile, such as LinkedIn
- Address (City and State for the US; just your city for rest of the world)
- Email address
- Headshot (required or welcomed in the EU; not required and sometimes frowned upon in the US)
Stick to popular email providers such as Gmail or Outlook. And use these professional formats to create your username:
- first.last@gmail.com
- last.first@gmail.com
- firstlast@gmail.com
- f.last@gmail.com
- first.l@gmail.com
Recommended reads:
PRO TIP
Include a link to your portfolio in your Data Architect resume header. Most companies will require that you include one in your resume, and even if they don’t, it’s an excellent opportunity to directly show them your proudest projects.
Writing a Strong Data Architect Resume Summar
Data Architect resume summary checklist:
- Mention your position and total years of experience in the field;
- Highlight 1-2 of your top achievements;
- Go for shorter sentences and keep them to the point – don’t include anything that doesn’t support your application;
- Add 2-4 keywords present in the job description.
Resume Summary Formula:
PRO TIP
You’re not going to get hired simply because of a good summary or objective. However, your recruiter can bump you up in front of similarly experienced candidates who didn’t demonstrate such passion and drive.
Recommended reads:
Adding Education, Courses, and Certifications to Your Data Architect Resume
Education section tips and tricks:
- Add info about your highest degree level, incl. year of graduation, place of study, and degree subject;
- Mention some education-related awards you’ve received;
- Share a bit more about your certifications (if they are relevant);
- Entry-level applicants: Tailor your education section by including classes that are relevant to the position you’re applying for.
Top Certifications for your Data Architect resume
AWS Data Architect Bootcamp - 43 Services 500 FAQs 20+ Tools
AWS Databases, EMR, SageMaker, IoT, Redshift, Glue, QuickSight, RDS, Aurora, DynamoDB, Kinesis, Rekognition & much more
AWS Certified Database Specialty Practice Exams
AWS Certified Database Specialty Practice Tests w/ Complete Explanations and References that covers all DBS-C01 topics!
QlikSense Data Architect Masterclass
The Qlik Sense Developer Bootcamp
GCP: Complete Google Data Engineer and Cloud Architect Guide
The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop
Learn Data Warehousing From Scratch- From Solution Architect
Real life data warehouse guide from the industry expert. Succeed in BI|DataWarehouse|Data Model|BIGDATA.
Recommended reads:
PRO TIP
There are dozens of certifications that you can claim as a Data Architect. But, some are more effective than others. That’s why you mustn’t include every certificate other applicants might have. Try instead to earn and list a few of the difficult ones.
The Best Format for Your Data Architect Resume
Choosing the right format for your resume might seem difficult, regardless of whether you’re a newbie or a master. In short, there are three basic resume formats for you to choose from:
- Reverse-chronological resume format;
- Functional skills-based resume format;
- Combination (or Hybrid) resume format.
The choice you make depends on your level of experience and the company you’re applying for.
The reverse-chronological resume format is great for you if you have at least 10 years of experience, no employment gaps, and are not looking for a career change. Here, you are expected to list all your previous jobs in a reverse-chronological format, starting from your most recent position and going back to the oldest one. It’s perfect for experienced individuals who are looking for a straightforward way to highlight their expertise.
The functional skills-based resume format, on the other hand, is great for recent graduates or professionals with large employment gaps. It focuses on skills and education, rather than experience. This makes it ideal for showing you’re the right fit without putting too much emphasis on your lack of (relevant) experience.
If you’re looking for something a bit more creative, go for the combination resume format. It’s a mix of the reverse-chronological and the functional skills-based formats, which makes it ideal for all types of applicants. What’s more, it’s considered modern and innovative, and isn’t this what you want your application to feel like anyway?
After choosing the right format for your Data Architect resume, it’s time to perfect the layout and style.
- Go for traditional 1-inch resume margins;
- Choose a simple resume font, sized 10-12p;
- Make sure that the length of your resume matches your applicant profile: try to fit in a one-page template; two-page templateare suitable only for candidates with over 10 years of experience.
- Save your resume in PDF to avoid issues around formatting and unauthorized editing.
Looking for more ways to make your application stand out? Read this article!
Recommended reads:
PRO TIP
Test your draft Data Architect resume by sending it out to peers and mentors in your circles. Ask them to review it as if they are hiring you for a project and implement the feedback afterwards.
Other sections to include in your resume
Depending on the type of company, your position, and your general desire to experiment and showcase your creative side, you might want to add some additional sections to your resume. Some examples include:
Creating a Memorable Data Architect Resume
You want your resume to put you in front of other candidates even when the competition is high, right? Right!
One of the easiest ways to do this is by adding a drop or two of creativity. You can choose a colorful and out-of-the-box template, or maybe even put a ‘what my typical days look like’ section at the bottom of your resume
It’s totally up to you. Just make sure to match the level of creativity to the industry, the position, and the company.
What Makes a Great Data Architect Resume: Key Takeaways
- Choose a resume layout that sends the right message across and fits your current career situation;
- Create a resume header that shows your desired job title, and easy to find contact numbers;
- Be specific about your experience, accomplishments and future goals in your summary;
- Feature detailed metrics and specific examples that show the impact you made in your previous roles when describing your experience;
- List soft skills backed by examples;
- Add all of your technical skills and certifications that you have and match the job description;
- Show off a dash of personality in your resume that will demonstrate your culture fit and the right mix of hard and soft skills.
